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AI Engineer with 1+ years in GenAI Applications & Conversational AI
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AI/ML Engineer specializing in production-grade GenAI applications RAG pipelines, LLM agents, and AI automation. Skilled in conversational AI, semantic retrieval, Agentic Workflow & scalable FastAPI backends that deliver measurable business impact.
Chandigarh University, Mohali
B.E. · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Nutan Govt. School, Banswara
Higher Secondary (Class XII)
June 1, 2020 – May 31, 2021
Netscape Labs Infotech
AI/ML Engineer
February 1, 2026 – Present
Mohali, Punjab, India
Oreta India Pvt. Ltd
AI & Data Engineer
November 1, 2025 – January 1, 2026
Mohali, Punjab, India
Infosys Limited
Software Developer Intern
May 1, 2025 – October 1, 2025
Chandigarh, Chandigarh, India
Outlier.AI
AI & LLM Model Trainer (Remote)
September 1, 2024 – March 1, 2025
India
DataQuery AI
June 1, 2026 – Present
Built an AI platform that converts plain-English questions into SQL and RAG answers across CSV, Excel, PDF, Word, and SQL databases using FastAPI, LangGraph, and DeepSeek. Engineered a self-correcting SQL agent (3-retry loop) and a zero-cost RAG pipeline with ChromaDB and sentence-transformers, returning answers with source citations.
View ProjectBankWise AI
June 1, 2026 – Present
Built an agentic, RAG-powered Indian banking advisor using a LangGraph + DeepSeek LLM tool-calling loop with real-time SSE token streaming and deterministic Python Decimal calculator engines (EMI, eligibility, SIP/FD, CIBIL simulation). Engineered a multi-stage GenAI pipeline: hybrid BM25 + dense vector retrieval, LLM safety pre-filter, critic verification, and a reactive agent loop containerized with Docker.
View ProjectSentinel AI
June 1, 2026 – Present
Built an end-to-end platform turning simulated microservice failures into auto-detected incidents with root cause analysis via LangGraph (log analysis → anomaly detection → deploy correlation → RCA → remediation). Ingested logs from four FastAPI microservices, auto-triaged ERROR/CRITICAL events, generated DeepSeek RCA with ChromaDB RAG, and streamed real-time React SRE dashboard updates via WebSockets using Celery and Redis.
View ProjectOracle Cloud Infrastructure 2025 Certified Generative AI Professional
Oracle Cloud Infrastructure
June 1, 2026 – Present
Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate
Oracle Cloud Infrastructure
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects (DataQuery AI, BankWise AI, Sentinel AI) demonstrate a strong initiative, passion for AI, and a proactive approach to learning and applying new technologies. The experience across different companies (Netscape Labs, Oreta India, Infosys, Outlier.AI) and roles (AI/ML Engineer, AI & Data Engineer, Software Developer Intern, AI & LLM Model Trainer) indicates adaptability and a broad interest in the AI/ML domain. The focus on production-grade GenAI applications aligns well with a results-oriented, innovative culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, critical thinking, and an ability to deliver measurable business impact (e.g., reducing manual effort by 60-70%). The experience as an AI/LLM Model Trainer suggests attention to detail and a focus on improving model accuracy and user satisfaction. Collaboration in agile sprints is also mentioned, indicating teamwork and adaptability.