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AI Engineer with less than a year in LLM-powered products & analytics solutions
AI/ML Engineer and Data Analyst with hands-on experience shipping LLM-powered products, RAG pipelines, and end-to-end analytics solutions into production – including hybrid RAG (FAISS + BM25 + RRF), Agentic AI, NLP, and predictive modelling using Python, FastAPI, LangChain, PyTorch, and Power BI. Skilled across the full data & AI value chain: ETL, EDA, model training/evaluation, MLOps (MLflow, Docker, CI/CD), and cloud deployment (AWS, GCP). Strong DSA foundation (300+ LeetCode, Top 15%) and professional RLHF annotation experience at Outlier AI. Seeking an AI/ML Engineer or Data Analyst role to drive real engineering impact in production systems.
Lovely Professional University
B.Tech · Computer Science & Engineering
August 1, 2022 – Present
Sunshine Residential Public School
Class XII · Science (PCM)
N/A – May 31, 2021
SVM Deoria
Class X · Matriculation
N/A – May 31, 2019
Customer Churn Prediction
Telecom Analytics & Risk Dashboard
June 1, 2026 – June 1, 2026
India
ZENOVA AI
AI-Powered Career Intelligence Platform
February 1, 2026 – February 1, 2026
India
Healthcare RAG Assistant
Hybrid Retrieval & Claims Intelligence Platform
January 1, 2026 – January 1, 2026
India
Outlier AI
AI Trainer (Freelance)
December 1, 2025 – April 1, 2026
India
AI Parenting Assistant - Agentic RAG Platform
January 1, 2026 – Present
Built a production-style AI Parenting Assistant using Flask, FAISS, and Sentence Transformers with an Agentic RAG workflow covering query rewriting, retrieval, grounded answer generation, verification, and safety checks powered by Groq Llama 3. Developed JWT-secured REST APIs for signup, login, chatbot queries, feedback, health checks, metrics, and admin monitoring, with role-based access and prompt-injection protection. Created a parenting knowledge pipeline with cleaned corpus chunks, a metadata manifest, a fine-tuning-ready JSONL dataset, and a labeled retrieval benchmark for evaluating answer quality. Implemented evaluation and observability features including latency tracking, citation support, faithfulness scoring, feedback capture, success-rate metrics, and Prometheus-compatible monitoring. Designed a Docker-ready deployment architecture with MySQL schema, Nginx reverse proxy, Prometheus/Grafana monitoring, and an an AWS EC2/RDS/S3 deployment plan.
Supervised Machine Learning: Regression and Classification
Stanford University & DeepLearning.AI
November 1, 2024 – Present
Excel Skills for Business
Macquarie University
May 1, 2024 – Present
SQL for Data Analysis - Advanced
Mode Analytics / LinkedIn Learning
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from an AI Parenting Assistant to a Healthcare RAG Assistant and a Career Intelligence Platform, indicates a broad interest in applying AI across different domains. Their active open-source contributions and interest in open-source AI projects suggest a collaborative and community-oriented mindset. The target role of 'AI Engineer' aligns well with their demonstrated skills in LLMs, RAG, MLOps, and system design, indicating a strong cultural fit for an innovative AI-focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their DSA achievements and complex project implementations. Their experience as an AI Trainer suggests an ability to provide structured feedback and collaborate asynchronously, which are valuable for team environments. The detailed project descriptions indicate a methodical approach to development and a focus on practical outcomes and metrics.