Engineering Intelligence,
One Model at a Time
I'm a Computer Science undergraduate at Guru Jambheshwar University who became obsessed with one question: what happens when you give data a voice?
From building Random Forest regressors that forecast market movements to co-developing AI triage agents for clinical workflows, I gravitate toward problems where machine learning creates measurable, real-world impact — not just benchmark scores.
Outside of model training loops, I lead teams in national hackathons, represent India at international student conferences, and build hardware automation solutions for social impact.
Projects That Ship
Every project is a production-minded experiment — built to measure impact, not just check boxes.
Stock Price Predictor
Market Intelligence via ML
Engineered a production-grade Random Forest regression pipeline that forecasts next-day closing prices with sub-5% error. Applied time-series feature engineering — MA-10 moving averages, lag variables, volatility metrics — on 5+ years of historical data.
- →Random Forest Regressor
- →Time-series forecasting
- →Feature engineering
- →Matplotlib visualizations
Abhilasha AI Medical Agent
Agentic AI Hackathon at Ulster University, UK
Co-built an NLP-driven medical assistant that pre-screens patient queries and routes clinical cases intelligently. The system demonstrated a 25% projected reduction in basic consultation load in prototype testing, selected for presentation at Ulster University.
- →AI-powered patient intake
- →Query classification
- →Clinical workflow automation
- →Ulster Uni collaboration
AI Research Agent
03Personal Research Assistant for Academic Papers
Developed an AI-powered research assistant in Jupyter Notebook that automates data cleaning tasks such as handling missing values, duplicate removal, outlier detection, feature standardization, and dataset preparation for analysis
Sanitary Pad Vending Machine
04Arduino Automation for Social Impact
Designed and prototyped an Arduino-powered automated vending system targeting menstrual hygiene accessibility in schools and public institutions. Developed a scalable deployment concept built for low-resource environments.
Tech Stack & Toolkit
Proficiency
Self-assessed based on project experience and depth of use.
Currently Exploring
Beyond the Code
Team Lead
Smart India Hackathon
↳ Digital Platform for Cultural Heritage Site
- Directed a 5-member cross-functional team to design and ship a scalable digital heritage engagement platform end-to-end
- Architected the system with a modular UI and integrated data management layer for real-time visitor interactions
- Outperformed 100+ competing teams to advance to the internal presentation round, pitching to an evaluation panel
AI Healthcare Prototype Developer
Ulster University, UK
↳ "Abhilasha" AI Medical Agent
- Co-engineered an AI triage assistant to intelligently classify and route inbound patient queries at a preliminary stage
- Prototype demonstrated a projected 25% reduction in basic consultation load in simulated clinical workflows
- Shortlisted for the presentation round based on solution feasibility, technical depth, and impact potential
Harvard Project Delegate
VCONF '26 — Asian & International Relations
↳ Asia-Pacific Policy & Technology Track
- Selected as an Indian delegate to represent perspectives on technology policy at the Harvard VCONF '26
- Engaged with international delegations on emerging technology, AI governance, and cross-border digital cooperation
B.Tech — Computer Science & Engineering
Guru Jambheshwar University of Science & Technology, Hisar
Currently enrolled
Let's Build
Something Smart
I'm actively seeking internships, research collaborations, and engineering roles where machine learning meets real impact. If you're working on interesting AI/ML problems, I'd love to connect.