Computer Science & Design undergraduate passionate about building end-to-end web applications and LLM-powered systems using modern technologies.
I'm a Computer Science & Design Engineering student at S J C Institute of Technology, Chikkaballapur, pursuing my B.E. with a strong CGPA of 8.9/10. Expected graduation in May 2027.
My passion lies at the intersection of full-stack web development and artificial intelligence. I love building applications that leverage the power of LLMs, multi-agent architectures, and RAG systems to solve real-world problems.
I've had hands-on experience as a Full Stack Web Development Intern at ElevanceSkills, where I developed and deployed production features using the MERN stack. I thrive in agile environments and take pride in writing clean, maintainable code.
When I'm not coding, I'm exploring the latest in AI research, building IoT projects, or working on open-source contributions.
ElevanceSkills · Remote
Three-service medical imaging platform that combines deep learning with clinical interfaces. Upload chest X-rays, brain MRIs, bone X-rays, or CT scans and receive instant AI predictions with Grad-CAM visual explanations and clinical reasoning.
Multi-agent AI platform where specialized agents monitor global news, geopolitical conflicts, sanctions, and tariffs to analyse downstream impact on trade and commodity markets.
IoT device detecting vehicular collisions via accelerometer data and autonomously dispatching real-time GPS coordinates to emergency contacts via SMS/call.
Full-stack AI learning management system enabling students to upload study materials (PDF/images), receive AI-generated quizzes and summaries, and track revision schedules with an analytics dashboard.
Deep dives into projects that tackle genuine challenges — from AI-powered learning systems to IoT safety devices. Each case study walks through the problem, delivery approach, and measurable impact.
Full-stack medical imaging platform combining deep learning (DenseNet-121) with an intuitive clinical interface. Upload chest X-rays, brain MRIs, bone X-rays, or CT scans — and receive instant AI predictions with Grad-CAM visual explanations and clinical reasoning.
Radiologists and clinicians face massive workloads, requiring tools that can fast-track triage and highlight key localized areas of concern in medical scans.
Developed a microservice architecture consisting of a React frontend, an Express orchestration server, and a FastAPI inference service running PyTorch DenseNet-121 models with Grad-CAM and SHAP explainability pipelines.
Enabled instant, interpretable AI diagnostics with clear visual attention heatmaps, automated finding summaries, study history tracking, and downloadable clinical PDF reports.
Multi-agent AI platform where specialized agents monitor global news, geopolitical conflicts, sanctions, and tariffs to analyse downstream impact on trade and commodity markets.
Manually tracking geopolitical events across multiple sources is slow, error-prone, and fails to connect cascading effects across economic dimensions.
Designed a multi-agent architecture with LangChain, where each agent specializes in a domain — news, conflicts, sanctions — using RAG pipelines and LLM reasoning.
Produced structured decision reports spanning trade, commodities, and policy, demonstrating autonomous AI analysis capabilities across complex, multi-dimensional datasets.
IoT device detecting vehicular collisions via accelerometer data and autonomously dispatching real-time GPS coordinates to emergency contacts via SMS/call — potentially saving lives in critical moments.
Road accidents in remote areas often go unreported for critical minutes. Victims may be unconscious and unable to call for help, making automated detection essential.
Built an Arduino-based system with accelerometer sensors for real-time collision detection, GPS module for location tracking, and GSM module for automated emergency SMS/calls.
Created a low-cost, reliable safety device with manual override for false alerts, demonstrating how embedded systems can directly address life-threatening real-world problems.
Core programming languages I build with
UI frameworks, styling, and browser-focused tooling
Server-side runtime, frameworks, and languages
Artificial intelligence, agents, and machine learning
Data storage and query systems
IDE, version control, testing, and design
Hosting, CI/CD, and deployment platforms
Oracle University
Oct 2025Oracle University
Oct 2025Oracle University
Oct 2025NPTEL, IIT Kharagpur
Jul — Oct 2025Udemy — Hitesh Choudhary
CompletedopenHPI · Hasso Plattner Institute
2026Have a project in mind or want to collaborate? Get in touch!
Location: Bengaluru, India
Status: Software Developer / Engineer