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AI Engineer with less than a year in ML, LLM systems, and data analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Integrated M.Tech AI student with experience building end-to-end ML and LLM-powered systems spanning predictive modeling, NLP, and scalable API deployment. Skilled in Python, Machine Learning, Computer Vision and Agentic AI with a track record of delivering data-driven solutions that produce measurable business impact.
Vellore Institute of Technology
M.Tech · Artificial Intelligence
August 1, 2022 – June 30, 2027
House of PY Technologies
Python Backend Developer Intern
October 1, 2025 – January 1, 2026
Surat, Gujarat, India
Elevate Labs
Data Analyst Intern - Exploratory Analysis & Predictive Modeling
May 1, 2024 – July 1, 2024
India
JanSetu AI-Powered Civic Grievance Management System
May 1, 2026 – Present
Designed a 3-portal civic complaint platform (citizen, officer, admin) in FastAPI and SQLite, covering the full complaint lifecycle across 6+ status stages from submission through resolution and closure. Constructed a background AI triage engine using BART-MNLI zero-shot classification, CLIP image verification, and LangChain agents to autonomously route and prioritize complaints across 8+ departments without officer input. Enforced grievance accountability via JWT-secured portals, SLA breach detection, Twilio SMS escalation, and immutable lifecycle logging to minimize unresolved backlog.
View ProjectAutomatic Task Reminder System (ATRS)
April 1, 2026 – Present
Architected an LLM-powered email ingestion pipeline using Flask and Groq API to parse, deduplicate, and classify 100+ placement communications per cycle into structured scheduling events. Eliminated manual deadline tracking by building a scheduling engine that propagates placement lifecycle milestones into calendar events and push alerts, saving an estimated 3+ hours per week. Integrated Gmail OAuth, Firebase Cloud Messaging, and REST APIs to deliver proactive deadline notifications across web and mobile surfaces with no human trigger required.
View ProjectMulti-Agent Self-Critique System
January 1, 2026 – Present
Implemented a collaborative multi-agent reasoning framework in LangGraph where dedicated critic and refiner agents iteratively challenge and improve model outputs through asynchronous message passing across 3+ refinement rounds. Benchmarked system performance across 4 datasets (GSM8K, BoolQ, StrategyQA, CLUTRR) to quantify gains in logical consistency and multi-step reasoning over single-pass Mistral-7B baselines.
Cultural Fit Analysis
The candidate's projects are diverse, covering areas like task automation, civic grievance management, and multi-agent systems, indicating a broad interest in applying AI to different domains. The target role of 'AI Engineer' aligns well with the candidate's M.Tech in AI and project experience. However, the experience is primarily academic and internship-based, which might require some adjustment to a full-time corporate environment. The candidate's involvement in the AI Club and hackathon suggests a proactive and collaborative attitude.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-component systems, suggesting good problem-solving and architectural thinking. The leadership role in the AI Club also points to organizational and teamwork skills. The focus on delivering measurable business impact in project descriptions suggests a results-oriented approach.