SHAPING
TOMMOROW
WITH AI
SHAPING
TOMMOROW
WITH AI
BASED IN BANGALORE
©2026
I build agentic AI systems and deploy clinical ML at scale.
SKILLS
Machine Learning
- PyTorch & TensorFlow
- Scikit-learn
- Hugging Face & ViT
Agentic AI
- LangChain & LangGraph
- Model Context Protocol
- Multi-Agent Systems
Backend
- SQL, Redis & Docker
- Flask & FastAPI
- Pydantic & Python
Web Development
- React & Javascript
- HTML & CSS
- Responsive Design
Enterprise-Grade — Multi-Agent AI Project
JobSeek — Your AI-Powered Job Hunt Companion
JobSeek automates job hunting: it builds your profile, finds relevant jobs, tailors resumes, and even applies for you. Effortless job search starts here.
Ingest Agent
“Know Yourself First”
Scrapes your resume, LinkedIn, and other online profiles to build a complete candidate profile, neatly organizing every skill, project, and achievement.
Scrap Agent
“Find Your Perfect Match”
Searches job boards and company listings based on your preferences—role, location, and work mode—so you see only opportunities that truly fit.
Resume Agent
“Tailor for Success”
Automatically crafts personalized resumes for each job, emphasizing the most relevant skills and experience to maximize recruiter attention.
Apply Agent
“Hit Send, Stress-Free”
Submits your applications seamlessly across platforms, saving time and ensuring no opportunity is missed while you focus on interviews.
Selected works
From Agentic AI to web development, my work spans impactful solutions. StrokeInsights predicts stroke risk using AI, while Refokus showcases my expertise in modern web development with React. Explore my contributions in development and deployment!
Stroke Insights
First Prize at an international conference
A cutting-edge machine learning model designed to predict stroke risk based on user inputs such as age, medical history, and lifestyle factors. The goal is to provide users with early risk assessment, enabling them to take preventive measures and seek timely medical advice.
(01)
Brain SegNet
A deep learning app that detects brain tumors in MRI scans using a custom ResUNet segmentation model.
(02)
August 2026
DeBERTa-V3 with CRF for Clinical Entity Recognition in Long Documents
PROJECTS ARENA
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