AI/ML Engineer & Full Stack Developer — B.Tech CSE (AI & ML) at LPU. I build intelligent systems, agentic AI tools and real-time applications, with hands-on internship experience at CSRBOX × IBM and Infosys.
Technical Arsenal
The languages, frameworks and AI tooling I use to turn ideas into shipped products.
What I've Built
Real-world AI, ML and full-stack applications — each with measurable impact and live code.
AI-powered resume analyzer using NLP and SBERT to match resumes with job descriptions and improve ATS scoring. Delivers real-time improvement suggestions through an interactive Streamlit web app.
Unsupervised fraud detection on highly imbalanced financial data using Isolation Forest, LOF and DBSCAN. Built a full pipeline of data preprocessing, anomaly detection and comparative model analysis.
Agentic AI system for customer-support ticket resolution with multi-step reasoning and confidence scoring. Implemented retry logic and multi-LLM fallback across Groq, Gemini and OpenRouter for reliability.
Streamlit-based AI agent that supports business decision-making using AI and rule-based logic. Analyzed 100+ data records to generate insights and improve decision accuracy.
AI voice assistant enabling hands-free email and messaging via Gmail API, WhatsApp (Twilio) and Telegram. Deployed with Flask, SQLite and Docker, with an admin dashboard for monitoring and role-based access.
Tracked 20+ vehicles in real time using ML-based detection and GPS data with 90%+ accuracy. Reduced manual monitoring by 40% through automated movement analysis and live updates.
Interactive quiz system with automated scoring and a real-time leaderboard supporting 100+ attempts per session. Responsive UI with instant result updates that increased engagement across devices.
Python deadlock-detection system analysing 50+ process-resource instances using Resource Allocation Graphs. Web interface visualizes system states and detects deadlocks live, cutting analysis time by 35%.
Work Experience
Hands-on AI engineering experience with industry partners.
Highlights
Competitive problem-solving and hackathon wins.
Basic & intermediate level — consistent DSA and problem-solving practice.
Certificate of Completion — built an agentic AI solution under time constraints.
Completed a 24-hour Capture-The-Flag cybersecurity challenge.
Credentials
Verified learning across AI, ML and cybersecurity. Tap any card to view the certificate.
Academic Background
Beyond Code
Member, Coding Ninjas — Event Management Volunteer for hackathons and DJ nights (Mar 2024 – May 2025).
LPU NSS Member — Contributed to social and environmental campaigns (Jun 2024 – Jul 2024).
Hostel Committee Member — Assisted in student management and welfare initiatives (Aug 2024 – May 2025).
Get In Touch
Open to internships, full-time roles, collaborations and exciting AI/ML projects. I usually reply within a day.