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Hi there! I'm @aioont aka [ A b h i n a n d ] 👋

Tech Innovation Animation

🧠 About Me

class AbhinandI:
    def __init__(self):
        self.name        = "Abhinand I"
        self.role        = "AI / ML Engineer"
        self.location    = "Kochi, Kerala, India 🇮🇳"
        self.education   = "M.Sc. Computer Science (AI) — CUSAT"
        self.current     = "Junior AI Engineer @ Elint AI × Microsoft"

    @property
    def focus_areas(self):
        return [
            "Production GenAI Systems",
            "LLM Fine-Tuning (LoRA / QLoRA / PEFT)",
            "Agentic AI & Multi-Agent Orchestration",
            "RAG Pipelines & Vector Search",
            "FastAPI LLM Microservices",
            "Responsible AI & Guardrails",
        ]

    @property
    def current_work(self):
        return """
        Building enterprise-grade Intelligent Document Processing (IDP)
        platform in collaboration with Microsoft — using LangChain agentic
        workflows, Azure OpenAI, MCP tool servers, and RAG on Azure AI Foundry.
        """

    def say_hi(self):
        print("Let's build something that matters 🚀")

me = AbhinandI()
me.say_hi()

🚀 What I'm Working On

🏢 @ Elint AI × Microsoft

Enterprise Legal AI Platform

  • Multi-agent IDP pipeline using LangChain + LangGraph
  • Azure OpenAI structured extraction with Pydantic validation
  • MCP tool servers for document query & state management
  • RAG over large legal document corpora
  • AI Guardrails: Content Safety, PII detection, injection shielding

🔬 Personal Research

LLaMA 3.1 Fine-Tuning

  • Domain-adaptive compliance NLP system
  • LoRA / QLoRA PEFT on custom regulatory dataset
  • Benchmarked vs GPT-3.5 on NLU tasks
  • RAG-augmented inference pipeline
  • Full data prep → train → eval → deploy

🛠️ Tech Stack

🤖 AI / ML Core

⚡ GenAI & Agentic Stack

☁️ Cloud & DevOps

🔧 Web & Backend


🔑 Featured Projects

🏛️ Enterprise Legal AI System

Microsoft Partnership · Active

Production AI platform for legal document intelligence co-built with Microsoft.

Stack: Azure OpenAI · LangChain · RAG · Pydantic · MCP Tools

  • Multi-agent IDP with Supervisor-Worker routing
  • Semantic case retrieval over large corpora
  • Compliance flag detection & auto-summarisation
  • AI Guardrails: PII tokenisation, injection shielding
  • Role-based access control & audit logging

🧬 LLaMA 3.1 Fine-Tuning — Compliance NLP

Research · LoRA / QLoRA · PEFT

Domain-adaptive LLM fine-tuning on regulatory documents.

Stack: Hugging Face TRL · PyTorch · bitsandbytes · PEFT

  • Custom dataset: curation → instruction formatting
  • LoRA / QLoRA PEFT with 4-bit quantisation
  • Benchmarked vs GPT-3.5 on NLU tasks
  • RAG-augmented inference to reduce hallucination

📱 Privacy Chat — On-Device LLM

Edge AI · Android · Model Optimisation

LLMs running entirely on Android — no cloud, full privacy.

Stack: GGUF · INT4/INT8 Quantisation · GPU/NPU Accel

  • Real-time AI chat, summarisation & Q&A on-device
  • Zero cloud dependency, zero-connectivity capable
  • INT4/INT8 quantisation for consumer hardware
  • Hardware-accelerated inference (GPU/NPU)

⚖️ LegalGPT — AI Legal Research Assistant

IBM GenAI Conclave · WatsonX · RAG

NLP-driven legal case similarity and document intelligence.

Stack: IBM WatsonX · RAG · Vector Search · NLP

  • 85% case retrieval accuracy with RAG architecture
  • Citation engine → 60% reduction in prep time
  • Chunking strategies + vector indexing

🛡️ CyberVisionAI — Threat Intelligence Classifier

Cybersecurity NLP · Explainable AI

BERT-based TTP classifier from unstructured threat intel text.

Stack: BERT · Transformers · SHAP · LIME · LLMs

  • 78% classification accuracy on real threat data
  • SHAP + LIME for model explainability
  • LLM-powered threat recommendations (+40% effectiveness)

💻 Kex — VNC Server Manager

Stars Open Source · 100+ ⭐ · Shell

Shell-scripted VNC Server manager that fixed persistent connection issues and simplified server setup.

Stack: Shell Script · Linux · Open Source

  • 100+ GitHub stars from the community
  • Solved real pain points in VNC server management
  • Clean, documented, maintained codebase

📈 GitHub Stats


🏆 Achievements


🥇 Achievement
🏆 1st Prize — HackElite: AI-powered Disaster Management System
🎯 Selected — Bharat AI Hackathon Prototype Phase (National Competition)
🎖️ Finalist — Intelligent Innovators: AI Healthcare Management System
🎓 University Rank 8th — B.Sc. Computer Science, Calicut University
100+ GitHub Stars — Kex (VNC Server Manager) Open Source
🤝 50+ Students Mentored — Coding workshops across 6+ AI hackathons
🏭 Microsoft Partnership — Co-building enterprise AI platform with Microsoft
🧪 IBM GenAI Conclave — Led LegalGPT development on IBM WatsonX

📜 Certifications

5× Microsoft Azure AI Certified · IBM AI · ISRO ML Application


💼 Experience Timeline

2025 (Jul) ─────────────── Present
 └─ Junior AI Engineer @ Elint AI × Microsoft
    Production GenAI · LangChain · Azure AI Foundry · MCP Tools

2024 (Aug) ─────────────── 2025 (Jan)
 └─ GenAI Developer Intern @ TCS
    LLM App Dev · Latency Optimisation (–35%) · 90% User Satisfaction

2024 (Aug) ─────────────── 2025 (Jun)
 └─ AI Researcher & Web Developer @ Risknox
    AI Product MVP · Team Lead (4 engineers) · 40% Pipeline Improvement

2023 (Jun) ─────────────── 2025 (Mar)
 └─ M.Sc. Computer Science (AI Specialisation) @ CUSAT

2020 (Jun) ─────────────── 2023 (Mar)
 └─ B.Sc. Computer Science (Rank 8th) @ College of Applied Science, IHRD

🌐 Let's Connect

I'm always open to research collaborations, interesting AI problems, and building things that matter.


   



"The best way to predict the future is to build it."


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