Solving the 300+ page document problem that existing LLMs fail on. Building AI systems that eliminate hallucination, loss of context, and inaccurate answers — delivering precise automation that cuts operational costs, eliminates manual work, reduces staff overhead, and drives revenue growth.

Location: India | Open to Relocation & Remote
Email: vinayhipparge15@gmail.com | LinkedIn | GitHub | Portfolio

The 300+ Page Document Problem:

Government organizations, law firms, and enterprises handle massive workflows with extensive documentation:

• 300+ page legal documents (tenders, case files, policy documents) taking 3–5 days to process manually
• ChatGPT, Claude, open-source LLMs fail on long-context documents:
  • ❌ Loss of context after 100–150 pages
  • ❌ Hallucinated answers (making up information)
  • ❌ Wrong responses & incomplete analysis
  • ❌ Cannot maintain document coherence across 300+ pages
• Sales teams spending weeks on lead research with AI errors
• Recruitment teams drowning in months-long hiring cycles
• High operational costs, bloated staff teams, zero reliable automation

My Solution as AI Researcher: Building domain-specific legal LLMs + long-context architectures that solve hallucination, maintain context across 300+ pages, and deliver accurate, complete answers — eliminating manual work, reducing staff by 60–85%, cutting operational costs, and driving 4× revenue growth.

Researching & solving the 300+ page document problem — addressing LLM limitations in government & judicial systems

The Challenge: Government organizations (Rajasthan state govt, Indian judicial systems) handle 300+ page legal documents daily. ChatGPT, Claude, and open-source LLMs fail — losing context, hallucinating answers, returning inaccurate information. Staff spend 3–5 days reading documents manually because AI systems can't be trusted.

My Research & Solution: Building domain-specific legal LLM with long-context architecture designed specifically for Indian government workflows — eliminating hallucination, maintaining context across entire 300+ page documents, delivering accurate, reliable answers.

Built AI-Powered Legal Assistant covering India's multi-tier court system:

• 8,000+ laws and 100,000+ sections trained on Constitution of India & government legal databases
• Attorneys enter plain-English case description → system identifies applicable laws, generates case files, legal reports, jurisdiction-specific advice
• No hallucination. No context loss. Accurate answers on long documents.
• 50+ attorneys | 10+ judicial systems actively using
• Impact: 90% faster document analysis (3–5 days → <30 min) | 85% faster drafting (2–3 days → <1 hour)
• Revenue: 500+ staff-hours saved monthly | Expanding to additional state governments & private law firms
• Tech: LLMs, Long-Context Architecture, NLP, RAG, ChromaDB, Fine-tuning for accuracy

Deployed full AI agent ecosystem eliminating manual work across 30+ campaigns

Voice, Mail, WhatsApp, Browser, Sales, Support, Call Analyst agents.

• Revenue Impact: 70% call centre staffing reduction | 85% manual workload eliminated
• Tech: LLMs, AI Agents, LangChain, NLP, Voice Processing
• Infrastructure: Docker, Kubernetes, AWS (Lambda, EC2), Grafana, Prometheus monitoring

Willow — AI-powered sales automation platform

• Identified 10,000+ telecom decision-makers globally using AI agents
• Revenue Growth: 4× lead conversion (5% → 20%) | 500+ touchpoints/month
• Operational Savings: 80% sales effort reduction | Months of work → days
• Tech: LLMs, NLP, ML, AI Agents, Web Scraping, API Integration

Lumina Tech — Job Intelligence Platform

• Aggregated 100,000+ job postings daily (LinkedIn, Glassdoor, Indeed)
• Real-time lead pipeline eliminating manual research
• Tech: Python, n8n, ML, NLP, Data Pipeline, AWS, Docker

Solved trademark logo comparison & classification using Deep Learning

Fine-tuned Vision Transformer (ViT) + CLIP + CNNs.

• Impact: 92% accuracy | 95% faster review (2–3 days → <10 min) | 85% manual work eliminated
• Scaling: 10× daily processing capacity | 70% staffing reduction
• Tech: Deep Learning, Computer Vision, Transfer Learning, PyTorch, Google Cloud (TPU/GPU)

Full-stack AI recruitment platform automating entire hiring lifecycle

Candidate/client discovery → Email/WhatsApp/Call outreach → AI interview bots → CV-JD matching → Onboarding.

• Impact: 60% interviewer workload reduction | 75% faster shortlisting | 500+ hours saved
• Operational: Fine-tuned Mistral 7B (LoRA) on-premise for data security
• Infrastructure: Django, Flask, MySQL, Docker, Kubernetes, AWS EC2 (24/7 automation)
• Tech: LLMs, NLP, ML, BERT, ChromaDB, AI Agents, Microservices

Patent Applied | Govt. of India | App. No. 202541069245 A

Autonomous AI agent crawling dark web + GNN-based forensic analysis.

• 1,000+ dark web sites discovered | 1,000+ identities identified
• 60% investigation time reduction vs manual forensics
• Tech: AI Agents, Browser Automation, GNNs, Neo4j, Blockchain Analysis, OSINT

Production sales agent (Claude + Web Search + Vector Search)

• 4× lead conversion | 100+ campaigns | 2,000+ companies
• 90% manual effort reduction

Voice scheduling agent (Next.js, VAPI, Claude, Deepgram, ElevenLabs)

• 200+ bookings/month | 90% faster (8 min → 45 sec)

B.Tech — Artificial Intelligence & Data Science
N.K. Orchid College of Engineering & Technology, Solapur, India | Dec 2021 – Jun 2025

• 🥇 National Finalist — Smart India Hackathon 2024
• 🥉 3rd Place — HackXcelerate Microsoft Hackathon 2024
• 🏃 Runner Up — CIDECODE Hackathon 2024 (Govt. of India)
• 🏃 Runner Up — Aavishkar Research 2024
• 🏆 Top 3 — Pune Agri Hackathon 2025

• Languages & Core: Python, JavaScript, TypeScript, Java, Solidity, SQL, HTML, CSS

• LLMs & AI Agents: Claude (Opus 4.6, Sonnet, Haiku), GPT-5, Llama 3, Mistral, Qwen, LangChain, LangGraph, LangSmith, CrewAI, MCP, RAG, Graph RAG, Agentic RAG, Multi-Agent Systems, Tool Calling, Function Calling, Structured Outputs, GGUF Quantization, LoRA Fine-tuning, QLoRA, Prompt Engineering, OpenAI Code Interpreter, Long-Context Architecture, Inference Optimization, LLMOps

• Machine Learning & Deep Learning: PyTorch, TensorFlow, BERT, ViT, CLIP, BLIP, CNNs, RNNs, GNNs, spaCy, Presidio NER, YOLO, OpenCV, scikit-learn, CUDA, Unsloth, Axolotl, DeepSpeed, Hugging Face, Sentence Transformers, Embeddings, Transfer Learning, MLOps, A/B Testing

• NLP & Voice Technologies: spaCy, Presidio NER, VAPI (WebRTC), Deepgram Nova 3 (STT), ElevenLabs (TTS), OpenAI Vision API, Claude Vision, Microsoft Playwright, Tesseract OCR, Text-to-Speech, Speech-to-Text

• Web & Backend Frameworks: Next.js, React.js, Node.js, Django, Flask, FastAPI, REST APIs, WebSockets, Microservices, API Gateway, Express.js

• Vector Databases & Search: FAISS, ChromaDB, Pinecone, Neo4j, Elasticsearch, BM25, Hybrid Search, Reranking, Vector Search, Semantic Search

• Blockchain & Security: Web3.py, Etherscan API, Tor, Onion Routing, OSINT (Maltego, Shodan), Blockchain Forensics, GNN-based Transaction Analysis, Crypto Portfolio Analysis

• Automation & Integrations: Make.com, n8n, Composio, Twilio, WhatsApp Business API, SendGrid, Selenium, Webhook, HTTP, Cron Scheduling, Redis, Celery, RabbitMQ, PhantomBuster, Lusha, Apollo, HubSpot, CAPTCHA Handling

• Cloud & Infrastructure: AWS (EC2, S3, Lambda, RDS), Docker, Kubernetes, CI/CD, GitHub Actions, Vercel, Google Cloud (TPU/GPU), Grafana, Prometheus, MLOps Pipelines, Infrastructure as Code

• Databases & Data Management: PostgreSQL, MySQL, MongoDB, Supabase, Vector Databases, Data Warehousing, Data Pipeline Architecture

• Data Science & Analytics: Pandas, NumPy, Matplotlib, Seaborn, Plotly, Jupyter Notebooks, Data Visualization, Statistical Analysis

• Model Evaluation & Testing: LangSmith Evals, ROUGE, BLEU, Perplexity, Pytest, Unit Testing, Integration Testing, Performance Benchmarking

• AI Development Tools: Claude Code, Cursor, OpenAI Codex, GitHub Copilot, LLM Development Environments

✅ Solves the 300+ Page Problem — Long-context architectures that eliminate hallucination & context loss
✅ Manual Work Elimination — AI agents & automation reduce tedious tasks by 85%+
✅ Operational Cost Reduction — 60–70% staff overhead savings through intelligent systems
✅ Revenue Growth — 4× lead conversion, scaled sales, faster operations
✅ AI-First Solutions — LLMs, NLP, Deep Learning, ML, Multi-Agent Systems
✅ Production Deployments — Docker, Kubernetes, AWS, 24/7 monitoring & scaling

• Email: vinayhipparge15@gmail.com
• LinkedIn: linkedin.com/in/vinay-hipparge
• GitHub: github.com/Vinay152003
• Portfolio: vinay152003.github.io/portfolio

Open to: Relocation | Remote | Full-time | Contract | Advisory Roles