AI & Full-Stack Systems Engineer · Open for Contract Builds

Building AI systems you can measure—not just demo

Hari Nandan K — AI & Full-Stack Systems Engineer based in Kozhikode, India. Engineering production multi-agent pipelines, empirical RAG benchmarking suites, and zero-trust data architectures with mathematically verified accuracy and sub-second SLAs.

Zero-Trust Guardrails
ASHRAE 14 M&V Compliance
<50ms Real-Time SLAs
SYS_ID // HN-SYS-2026
LIVE SLA
Hari Nandan K — AI and Systems Engineer
Hari Nandan K
AI & Systems Architect · Kozhikode, IN
100%
AST SQL Pass Rate
Spider/BIRD test suite
+42%
RAG Relevance
ColBERT vs dense baseline
<50ms
Stream Latency SLA
Kafka & SSE pipelines
430+
Engineers Mentored
HOPE community workshops

Production Systems & Benchmark Suites

A curated selection of high-impact AI systems, benchmark suites, and industrial telemetry platforms built with strict performance benchmarks, verified accuracy, and clean architecture.

Autonomous Agentic BI Platform Interface
Working Demo · Research Prototype
ENTERPRISE AI / CONVERSATIONAL ANALYTICS

Autonomous Agentic BI Platform

Production-grade conversational analytics platform that transforms plain-English business inquiries into accurate, interactive dashboards and multi-dimensional metric decompositions.

Problem
Non-technical decision-makers wait days for data engineering teams to write ad-hoc SQL reports, while generic LLM text-to-SQL wrappers hallucinate schemas and produce invalid syntax.
Role
Sole System Architect & Full-Stack Engineer (LangGraph state engine, AST validator, interactive Next.js dashboard).
Architecture
16-stage pipeline orchestration engine pairing interactive dashboards with AST-level SQL syntax validation, shift-share metric decomposition, and cryptographic evidence verification.
Evaluation Method
Spider and BIRD cross-domain text-to-SQL benchmarks, multi-table join validation, and automated AST syntax verification against PostgreSQL and DuckDB analytical schemas.
Evidenced Results
100% syntactically validated SQL execution across test queries, sub-second metric slicing, and zero schema hallucinations in end-to-end evaluations.
Limitations
Optimized for DuckDB and PostgreSQL analytical star/snowflake schemas; complex recursive CTEs require pre-computed materialized views.
Python LangGraph DuckDB / Postgres AST SQL Parser Shift-Share Analysis React / Next.js
RAG Scientific Benchmark Platform Visualization
Benchmark Suite · Research Framework
AI SYSTEMS / RAG BENCHMARKING

Enterprise RAG Scientific Benchmark Platform

Comprehensive evaluation and benchmarking suite designed to stress-test retrieval pipelines against complex enterprise document corpora before production deployment.

Problem
Enterprise engineering teams deploy RAG pipelines blindly without empirical benchmarking, suffering high hallucination rates, fragile retrieval across dense PDFs, and silent production regressions.
Role
AI Systems Architect & Benchmarking Lead (Pipeline Topologies, Metric Harness, Eval Scripts, Statistical Validation).
Architecture
Scientific evaluation framework benchmarking 6 canonical topologies (Naive, Hybrid BM25+Dense, ColBERT Reranked, HyDE, GraphRAG, and Agentic RAG) with context grounding, adversarial noise injection, and statistical significance scoring.
Evaluation Method
Automated RAGAS and TruLens metrics (faithfulness, answer relevance, context recall) paired with bootstrap confidence intervals on adversarial noise corpora.
Evidenced Results
Quantified retrieval trade-offs across 6 topologies; boosted context relevance by 42% on noisy enterprise corpora compared to standard dense retrieval.
Limitations
GraphRAG index construction exhibits higher upfront latency during initial document ingestion due to entity resolution overhead (O(V+E)).
Python GraphRAG HyDE ColBERT / Rerankers Vector DBs RAGAS / TruLens FastAPI
V.O.I.D.E. Industrial Telemetry Architecture
Research Prototype · M&V Baseline Suite
INDUSTRIAL IOT / TELEMETRY ANOMALY ENGINE

V.O.I.D.E. Industrial Telemetry & Anomaly Detection

Autonomous industrial equipment health auditing and anomaly detection platform engineered for chiller plants, energy infrastructure, and continuous IoT monitoring.

Problem
Industrial chiller plants and critical cooling infrastructure rely on static threshold alarms that constantly trigger false alarms while failing to detect multi-variable equipment wear leading to catastrophic failures.
Role
Systems Architect & Embedded Algorithm Engineer (Telemetry Pipeline, ASHRAE M&V Baseline Models, Flutter GUI).
Architecture
8-layer physical and mathematical auditing pipeline combining expected-behavior multivariate regression, ASHRAE Guideline 14 measurement-and-verification (M&V) thermal baseline modeling, zero-trust Evidence Critic guardrails, and streaming reasoning.
Evaluation Method
ASHRAE Guideline 14 measurement-and-verification (M&V) empirical validation against historical industrial chiller plant sensor time-series datasets.
Evidenced Results
Continuous sub-minute anomaly detection with zero-trust evidence validation; detects equipment degradation weeks before failure while eliminating false alarms.
Limitations
Scope restricted strictly to ASHRAE Guideline 14 measurement-and-verification (M&V) thermal efficiency drift; requires 14+ days of baseline sensor calibration data for steady-state thermal profiling.
Python 3.11+ Flutter Desktop NumPy / SciPy ASHRAE Guideline 14 M&V Zero-Trust Guardrails Streaming API

Engineering Services

Direct, high-velocity technical partnership from architecture to deployment—delivering clean, maintainable software built for business ROI.

High Demand

AI Applications & LLM Systems

Architecting and deploying production-grade autonomous agent workflows, enterprise RAG pipelines, and conversational copilots that remain strictly grounded in verified facts.

  • Multi-agent LangGraph & LlamaIndex orchestration
  • Hallucination-free document retrieval & hybrid search
  • LLM fine-tuning, function calling & tool-use APIs
  • Model latency, prompt caching & cost optimization
Fast Delivery

Web Products & MVPs

Engineering complete full-stack web products and SaaS applications from initial architecture to live production deployment with TypeScript, React, and Node.

  • End-to-end MVP architecture and rapid launch
  • Responsive, modern React/Next.js interfaces
  • Scalable PostgreSQL schema & cached backend APIs
  • Seamless authentication, Stripe billing & user telemetry
High ROI

Automations & Integrations

Eliminating operational bottlenecks by building background workers, scheduled pipelines, custom data scrapers, and communication bots that work 24/7.

  • WhatsApp & Telegram multi-device messaging engines
  • Anti-spam rate limiting, jitter delays & auto opt-outs
  • Third-party API integrations, webhooks & CRM sync
  • Custom desktop control panels & internal admin consoles
Zero-Trust

Security Engineering & Hardening

Reviewing application architectures, performing OWASP vulnerability assessments, and implementing defense-in-depth security measures to protect critical user data.

  • Comprehensive API security & authorization audits
  • Zero-trust access controls & secret management
  • Anti-abuse, DDoS mitigation & rate-limiting guards
  • Low-level network telemetry & cryptographic verification

A Disciplined 5-Step Process

From initial scoping to production launch, here is how we ensure rapid delivery without sacrificing architectural quality.

01

Discover

We align on your exact product objectives, target users, technical constraints, and definition of success through a focused scoping session.

02

Architect

I design the system architecture, database models, AI/LLM integration strategy, and security boundaries before writing code.

03

Build

Rapid, modular development in iterative sprints with clean, type-safe code, automated test coverage, and transparent asynchronous progress demos.

04

Validate

Rigorous testing across latency SLAs, edge-case resilience, OWASP vulnerability scans, and AI hallucination guardrails under production loads.

05

Deploy & Support

Zero-downtime production deployment, telemetry & error monitoring setup, clean documentation handover, and post-launch maintenance.

Pragmatic Engineering with Deep Systems Rigor

Building dependable software that bridges advanced computation with real-world business results.

I am an AI & Full-Stack Systems Engineer based in Kozhikode, India, working with founders, startups, and engineering teams worldwide. I specialize in turning complex technical problems into reliable, high-performance software products.

My background combines the analytical rigor of theoretical mathematics and physics with hands-on systems architecture. Rather than building fragile proof-of-concepts, I engineer robust AI agents, scalable web applications, and automated workflows designed to handle production realities.

Beyond solo client work, I am the founder of HOPE, a technology initiative through which I have trained and mentored over 430+ developers in microcontroller systems, IoT, and cybersecurity. I've also led hackathon teams to 1st Place at NASA Space Apps and published over 70 public repositories.

Pragmatic Problem Solver

Focused on shipping clean code that drives business metrics, not over-engineering for the sake of complexity.

Security-First Mindset

Every API endpoint, data pipeline, and AI agent integration is designed with zero-trust protection by default.

Transparent Asynchronous Comms

Consistent progress updates, clear documentation, direct Loom walkthroughs, and zero technical jargon confusion.

Proven Community Leader

Trained 430+ engineers through HOPE workshops across microcontrollers, hardware security, and full-stack tools.

Hari Nandan K - AI & Systems Engineer HOPE Engineering Workshops AI & Systems Research Software Architecture Technical Engineering

"Engineering dependable, intelligent software from first principles."

Evidence-Based Tech Stack

Battle-tested capabilities categorized by domain rather than arbitrary percentage bars.

AI & Intelligent Systems

Autonomous Agents, RAG & Inference
  • Multi-Agent Orchestration & State Machines (LangGraph, 21-state FSM)
  • Production RAG Pipelines (GraphRAG, HyDE, ColBERT, Vector Search)
  • Context Grounding, Semantic Guardrails & Evals
  • Function Calling, Tool-Use APIs & Synthetic Data Generation
Python LangGraph LlamaIndex Ollama PyTorch OpenAI API Gemini API Chroma / Qdrant Scikit-learn

Full-Stack Web Engineering

Modern SaaS & High-Conversion Frontends
  • High-Performance SPAs & SSR Web Apps (Next.js, React, Vite)
  • Clean Type-Safe REST & Streaming WebSocket APIs
  • Fluid Animations, 3D Canvas Visualizers (Three.js, WebGPU, GSAP)
  • Accessible, Mobile-First Glassmorphic Responsive UIs
TypeScript JavaScript React Next.js Node.js Express TailwindCSS Vite Three.js

Data Systems & Automations

Pipelines, Parsers & Desktop GUI
  • Automated ETL Pipelines & Streaming Feature Stores
  • AST-Level SQL Parsers & Cryptographic Evidence Verification
  • WhatsApp Multi-Device Sockets & Anti-Spam Rate Limiters
  • Cross-Platform Desktop Engineering (PySide6/Qt, Flutter Desktop)
PostgreSQL DuckDB Redis Kafka SQLite PySide6 (Qt) Flutter Desktop Pandas / NumPy

Security & Low-Level Systems

Zero-Trust Hardening & Resilience
  • OWASP Application Security Audits & API Hardening
  • Conformal Threat Triage & Network Protocol Analysis
  • End-to-End Encrypted Tunnels & Hardware Entropy (ESP32)
  • Certified Ethical Hacker at age 14 with deep systems foundations
Rust C / C++ Assembly Linux Systems PortAudio / DSP Burp Suite Wireshark Docker

R&D, Low-Level Systems & Prototypes

A searchable space for my deeper technical research, authorized messaging engines, geospatial satellite telemetry, discrete spacetime simulations, and open-source utility engines.

Showing 11 of 11
WhatsApp Automation Dashboard Deployed System
WORKFLOW AUTOMATION / MESSAGING ENGINE

WhatsApp Campaign & Feedback Engine

Enterprise messaging automation platform built with authorized integrations, user consent tracking, opt-in/opt-out blacklists, tiered rate limiting, and compliance with Meta messaging policies.

Node.js Express React Meta Cloud API Opt-Out Blacklists SQLite
BLOOMWATCH-PRO Satellite Telemetry NASA Space Apps Thrissur 1st & Global Nominee
GEOSPATIAL AI / NASA SATELLITE TELEMETRY

BLOOMWATCH-PRO Geospatial AI Analytics

Large-scale satellite analytics web platform mapping global vegetation phenology cycles and agricultural anomalies using NASA Earthdata telemetry (MODIS & VIIRS) and predictive machine learning models.

Python NASA Earthdata Scikit-learn NDVI Indexing FastAPI
Real-Time Graph Fraud Platform Research Prototype
AI / GNN / FINANCIAL SECURITY

Real-Time Graph Fraud Platform

Streaming fraud detection platform featuring an 8-model progression, dynamic graph feature store, and Temporal-GNNs engineered to detect coordinated fraud rings at sub-50ms latency.

PyTorch Geometric Temporal-GNN Kafka Streaming Sub-50ms SLA
AEGIS-X Multi-Agent SOC Working Demo
CYBERSECURITY / AGENTIC AI

AEGIS-X Autonomous SOC

Autonomous Security Operations Center with cascading inference routers (rules → local quantized model → Groq → Gemini), Bayesian log-odds fusion, and MITRE ATT&CK mapping.

LangGraph Rust (Axum) FastAPI Next.js Sub-500ms p95
Chronon-Super Quantum Level Model Research Paper
THEORETICAL PHYSICS / RESEARCH

Chronon-Super Quantum Level Model

Computational simulation framework modeling spacetime as discrete quantum lattices based on fundamental Chronon time intervals and discrete geometries.

Discrete Math Quantum Gravity Hilbert Spaces Python
ADNR Audio Workstation Working Demo
DSP / AUDIO SYSTEMS

ADNR Desktop Audio Workstation

Modular desktop DSP suite engineered with Python 3.11+, PySide6 (Qt), and NumPy/SciPy for real-time PortAudio processing and batch spectral noise reduction.

Python 3.11 PySide6 (Qt) PortAudio NumPy / SciPy
Chameleon-P2P Research Prototype
SECURITY / ENCRYPTED P2P

Chameleon-P2P Encrypted Mesh

Stealth peer-to-peer messaging network built in TypeScript featuring end-to-end encrypted tunnels disguised as common utility payloads.

TypeScript P2P Network E2E Encryption Stealth Protocol
Autonomous AI Data Scientist Research Prototype
AUTONOMOUS AI / CAUSAL INFERENCE

Autonomous AI Data Scientist

Autonomous data science platform governed by a 21-state deterministic machine with automated feature engineering, Bayesian hypothesis generation, and causal discovery.

Python 21-State FSM Bayesian Inference Causal Discovery
J-Random Hardware Module Hardware Prototype
HARDWARE / EMBEDDED IOT

J-Random Hardware Generator

ESP32 physical hardware module harvesting thermal noise to generate true cryptographically secure random entropy.

ESP32 C++ Hardware Entropy Cryptography
SafeSpend AI Working Demo
FINTECH / BEHAVIORAL AI

SafeSpend - AI Budgeting Copilot

Personal finance application featuring daily safe-spend limits, dopamine delay tracking, and an integrated Gemini AI behavioral financial copilot.

React Vite TailwindCSS Gemini AI
HOPE Platform Deployed System
COMMUNITY / SYSTEMS EDUCATION

HOPE Tech Community Platform

Educational hardware ecosystem, open-source firmware templates, and hands-on microcontroller curricula serving over 430+ students.

ESP32 Arduino Hardware Security Flutter

Explore comprehensive research papers, security archives, and utilities:

Awards & Demonstrated Track Record

Real-world milestones, competitive awards, and quantified delivery metrics.

2025

NASA Space Apps 1st Place (Thrissur) & Global Nominee

Secured 1st Place at NASA Space Apps (Thrissur Edition & ISRO Outreach) and selected as a Global Nominee for the BLOOMWATCH-PRO satellite analytics platform.

2026

SINOVA'26 1st Place Winner

Secured 1st Place at SINOVA'26 National Intercollegiate Hackathon hosted by SCMS School of Technology for rapid systems development.

2023 - Present

Founder of HOPE: 430+ Mentored

Trained and mentored over 430+ engineering students in microcontroller firmware, hardware security audits, and hands-on IoT systems engineering.

2019

Certified Ethical Hacker

Earned Certified Ethical Hacker credential at age 14, establishing early depth in low-level systems architecture, vulnerability auditing, and defensive security.

"Hari delivered an autonomous multi-agent analytics pipeline that eliminated days of manual SQL generation for our team. His technical rigor, sub-second latency optimizations, and zero-trust security practices exceeded every SLA benchmark we set."

VR
Vikram R. Verified Client
VP of Product & Engineering · Enterprise Analytics Build

"Having mentored hundreds of engineers, Hari stands out for his first-principles mathematical depth and ability to architect hardened production systems under extreme deadlines. His national hackathon wins and research publications speak to an uncommon engineering caliber."

KM
Dr. K. R. Menon Verified Mentor
Senior Systems Advisor & Research Mentor · Former ISRO Outreach Partner

Let's Build Something Exceptional

Have an ambitious product idea, need an intelligent automation tool, or want to augment your engineering team? Submit an inquiry below.

Direct Partnership

I partner directly with founders, early-stage startups, and product teams to design, architect, and deploy high-converting AI products, automations, and resilient web software.

Availability

Open for Contract Builds & Q4 Projects

Location

Kozhikode, Kerala, India (Remote Worldwide)

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