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Full Stack AI Engineer with less than a year in AI-powered web applications & agentic systems
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Full Stack AI Engineer Intern with 2 months of experience in developing financial tracking web applications and integrating AI-powered OCR features. Proficient in Python, LangChain, LangGraph, and various AI/ML frameworks. Demonstrated expertise in building autonomous agentic systems for hiring and D2C operations, as well as offline RAG systems for medical information. Proven ability to deliver projects from data preprocessing to model deployment.
Acropolis Institute of Technology and Research
B.Tech · Computer Science Engineering
August 1, 2023 – June 30, 2027
Maurice Engineering Works
Full Stack AI Engineer Intern
March 1, 2025 – April 1, 2025
Indore, Madhya Pradesh, India
Offline Medical RAG System
June 1, 2026 – Present
Built a fully offline RAG pipeline over Harrison's Principles of Internal Medicine (2,000+ pages) — chunked and embedded the entire PDF into ChromaDB using a local embedding model, with zero data leaving the machine. Integrated Mistral (via Ollama) as the local LLM to answer medical queries using only retrieved chunks as context — ensuring grounded, citation-backed responses with no hallucination from parametric memory. Built 6 MCP servers (fixit, shanon, leetcode, travel, flight, hotel) for personal use — applied LLM feedback loops and iterative prompt refinement to improve output reliability across all tools.
View ProjectML Model Portfolio
June 1, 2026 – Present
Heart disease prediction (XGBoost, 85%+ accuracy), sales forecasting (R² ≥ 0.9), movie recommendation (collaborative filtering), customer segmentation (K-Means + PCA) — each with full pipeline from data preprocessing to model deployment.
View ProjectAgentic AI Hiring Platform
June 1, 2026 – Present
Built an agentic AI system that verifies candidates by autonomously researching their GitHub activity and LeetCode history against a job role hierarchical multi-agent architecture (Orchestrator, Evaluator, Report sub-agents) using LangChain, LangGraph, LLM APIs integration, and 2 custom MCP servers. Shipped a production LiveKit voice agent with multilingual STT/TTS achieving ~700ms time-to-first-audio — Silero VAD, BVC noise cancellation, deployed on LiveKit Cloud and hosted on Vercel.
D2C AI Employee
June 1, 2026 – Present
Built an autonomous agentic system that simultaneously monitors Shopify (orders), Razorpay (payments), Shiprocket (logistics), and Meta Ads flagging margin leaks like high RTO rates or uncollected payment gaps with row-level citations traced back to source data. Designed a two-phase anti-hallucination architecture: Phase 1 runs fast SQL aggregations against 6 KPI thresholds (Python only, zero LLM cost); Phase 2 calls an LLM only on threshold breaches — built a validate_recommendations function that silently drops any LLM output that doesn't match DB-computed values. Exposed 8 MCP tools via FastMCP with citation arrays mapping every aggregated stat to its source_row_ref — enabling a chat layer to answer queries like "why is my ROAS dropping" with verifiable row-level evidence.
View ProjectHackwave 2.0 - 1st Place Winner
Manipal University Jaipur
June 1, 2026 – Present
Tech-a-thon Winner
Unknown
June 1, 2026 – Present
MUJHacks - Top 10/350+ Teams
Unknown
June 1, 2026 – Present
AI Engineer
DataCamp
January 1, 2025 – Present
Database Management Systems
NPTEL
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI and full-stack development, aligning well with a 'Full Stack AI Engineer' role. The diversity of projects, from agentic hiring platforms to D2C AI employees and offline RAG systems, indicates a broad interest and adaptability to different problem domains. The proactive pursuit of certifications and hackathon participation suggests a continuous learning mindset and a drive for innovation, which are positive indicators for cultural fit in a fast-paced, tech-driven environment. The focus on practical, deployable solutions in personal projects also aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through numerous independent projects. The detailed descriptions of complex architectures and problem-solving approaches suggest good analytical and critical thinking skills. The hackathon achievements indicate a competitive spirit and ability to perform under pressure. While direct team collaboration experience is limited to project descriptions, the nature of building complex systems often implies an understanding of modularity and integration, which are beneficial for team environments.