CURRICULUM VITAE & STORY

Architecting Systems That Think, Retrieve & Act

A deep dive into my professional track record, educational background, verified industry certifications, soft skills, and engineering philosophy.

Mission & Philosophy

I believe the real potential of artificial intelligence is unlocked not by raw parameter counts alone, but through deterministic orchestration, groundable retrieval, and autonomous multi-agent division of labor.

Whether engineering an enterprise RAG pipeline that eliminates hallucination via strict page-level source tracing, or benchmarking YOLO detection heads for medical classification, I emphasize empirical verification, low latency, and rapid delivery from prototype to production.

● Available for Full-Time Roles
● Freelance AI Architect

Core Competencies

  • Agentic AI & Model Context Protocol (MCP)
  • Enterprise Hybrid Vector Retrieval (Dense + BM25)
  • Computer Vision Benchmarking (YOLOv8/v11/v26)
  • High-throughput FastAPI / PostgreSQL pgvector backends
  • Explainable AI (SHAP) & Tabular Classification (XGBoost)
  • Business Intelligence & Dashboarding (Tableau & Power BI)
EXPERIENCE & APPLIED WORK

Hands-On Technical Leadership

AI Engineer & Data Analyst

Applied Research & Independent Engineering · 2024 - Present
  • Built an enterprise-grade, production-oriented RAG platform enforcing JWT authentication & RBAC filtering, query rewriting, an Agent Planner routing across Document RAG & GraphRAG (bounded to 3 steps), RRF fusion, cross-encoder reranking, and grounded answers with Nemotron via FastAPI and PostgreSQL + pgvector.
  • Engineered an end-to-end Hybrid RAG pipeline combining dense vector embeddings (HuggingFace all-MiniLM-L6-v2) and BM25 sparse retrieval into a Pinecone hybrid index, ensuring strict page-level source traceability with Google Gemini 2.5 Flash.
  • Orchestrated autonomous multi-agent systems (LangChain, Tavily API, BeautifulSoup, Gemini 2.5 Flash) featuring Research, Reader, Writer, and self-auditing Critic agents with Streamlit web UI (live logs) and CLI execution modes.
  • Conducted deep learning computer vision research on mammography classification benchmarking YOLOv11 & YOLOv26 on CBIS-DDSM & VinDr-Mammo; trained custom YOLOv8 object detection to 92% accuracy with ONNX export.
  • Developed end-to-end data analysis workflows in Python/Pandas, Scikit-learn, XGBoost (with SHAP explainability), and created business intelligence reporting using Tableau, Power BI, and Microsoft Excel.
Enterprise RAG Platform Hybrid RAG Pipeline Multi-Agent AI System GitHub Repositories
ACADEMIC FOUNDATION

Education & Credentials

Degrees

Current / Advanced MCA

Master of Computer Applications (MCA)

Galgotias University

Graduated BCA

Bachelor of Computer Applications (BCA)

Chandigarh University

Completed 10+2 & 10th

Senior Secondary (10+2)

T.P.S College

Matriculation (10th)

Dr. D. Ram DAV Public School

Languages: English (Fluent) Hindi (Native)

Verified Certifications

Agentic AI Oracle

Oracle Agentic AI Foundations

MITS: Faculty Development Program on Agentic AI

Cloud AI Oracle Cloud

Oracle Cloud Infrastructure AI Foundations

Oracle Cloud Infrastructure Certification

Productivity & BI Microsoft

Microsoft Excel 2026: Pro Mastery

Data Analysis, Formulas, Pivots & Reporting

Data Science Data Mastery

Data Science Mastery 2025: Excel, Python & Tableau

Comprehensive data exploration, pipelines & BI

LEADERSHIP & VALUES

Professional Attributes & Soft Skills

Leadership

Guiding technical roadmaps, prioritizing sprint backlogs, and cross-functional direction.

Teamwork

Seamless collaboration with researchers, product managers, and backend engineers.

Communication

Articulating complex vector architectures, model trade-offs, and metrics clearly.

Planning & Strategy

Structured milestones, backlog prioritization, and iterative execution.

Time Management

Agile sprint cadence, rapid MVP turnaround in days, and meeting deadlines reliably.