class ShubhamMahobia:
role = "AI Engineer"
location = "Bhopal, Madhya Pradesh 🇮🇳"
experience = "2.5+ years in AI"
focus = ["RAG Systems", "LLM Pipelines", "Agentic AI", "Evaluation-Driven Optimization"]
achievements = {
"document_search_speedup" : "75% reduction in search time",
"answer_accuracy" : "92% with production RAG",
"daily_docs_processed" : "10,000+ enterprise documents",
"screening_time_reduction": "30 min → 8 min per candidate",
}
currently_building = "Production-grade AI systems that scale & evaluate well"
open_to = "Full-time AI / ML Engineering roles"| 🎯 Metric | 📈 Result |
|---|---|
| Document Search Time | ⬇️ 75% faster |
| RAG Answer Accuracy | ✅ 92% |
| Docs Processed Daily | 📄 10,000+ |
| EU AI Act Classifier | 🏷️ 85% accuracy |
| Interview Screening | ⚡ 30 min → 8 min |
| OCR Digitization | 🖊️ 1,200+ handwritten docs @ 82% |
| Expense Extraction | 💸 94% accuracy across 500+ transactions |
LangGraph · FAISS · OpenAI API
- Intelligent RAG router that dynamically picks: FAISS vector search → Web search → Direct LLM based on query type
- +40% answer relevance over baseline RAG
- RAGAS evaluation: Precision
0.89| Recall0.86| Accuracy0.91| Faithfulness0.87 - Tested over 200+ queries across technical docs and general knowledge
Python · LangGraph · MCP · FastAPI
- Extracts & categorizes expenses from SMS/email using GPT-4 + Model Context Protocol
- 94% extraction accuracy across 15 categories on 500+ test transactions
- Multi-agent workflow with natural language query capabilities
RAG · FastAPI · Semantic Search
- Dual-mode AI tool for both job seekers (resume feedback) and recruiters (candidate ranking)
- Built on production RAG pipeline with semantic retrieval and structured output
LangGraph · GPT-4 · Web Search
- Planner agent decomposes topics and dynamically spawns 2–8 parallel worker agents
- Successfully generated 50+ technical blogs with coordinated agent context sharing
Gemini LLM · RAG · FAISS · sentence-transformers
- Automated technical screenings for 100+ candidates
- Semantic candidate–job matching at 78% ranking accuracy on 300+ profiles
LLM & GenAI
Vector Databases
ML Frameworks
Backend & Cloud
🏢 RMgX LLP → AI Engineer Intern [ Sept 2025 – Mar 2026 ] 📍 Gurugram
🏢 Control Shift → AI Intern [ Mar 2025 – May 2025 ] 📍 Gurugram
🏢 Mitt Arv → Software Engineer Intern [ Jan 2023 – Nov 2024 ] 📍 Hyderabad
B.Tech in Computer Science — SAGE University Bhopal | CGPA: 8.86 / 10 | 2021–2025
| 📜 Certification | 🏛️ Issuer |
|---|---|
| Model Context Protocol (MCP) | Anthropic |
| Deep Learning | IIT Ropar (NPTEL) |
| Generative AI with LangChain & HuggingFace | Udemy |
| Supervised Machine Learning | Coursera |
| Python for Data Science, AI & Development | IBM |
"Shubham showed remarkable dedication, a strong grasp of ML fundamentals and the ability to independently explore complex technologies." — Rahul Singh, CEO, Control Shift
"He is very sincere, hardworking and a competent student… takes initiative on projects assigned to him." — Vishal Mehta, Founder, Mitt Arv
