initializing portfolio system
Hello! I'm
A passionate Full-Stack & ML Developer
Building intelligent systems at the intersection of full-stack development, applied machine learning, and production-ready engineering.
Featured Work
Bayesian ML-powered symptom checker with real-time health analysis and production-grade Docker deployment.
Impact
Translates uncertain symptoms into explainable probabilistic triage signals.
FastAPI endpoints, Streamlit interface, multi-stage Docker build, non-root container hardening, and GitHub Actions CI/CD.
AI-powered semantic photo retrieval using vision-language models for natural language image search.
Impact
Turns messy image libraries into searchable semantic memory.
CLIP embeddings, FAISS indexing, BLIP-2 captioning, and FaceNet-based facial recognition experiments.
Hackbuild 2.0 winning platform for AI-driven ad campaign optimization, insights, and ROI prediction.
Impact
Converted campaign data into guided decisions for marketers during a hackathon sprint.
Groq-powered insights, campaign analyzer, audience targeting engine, and real-time analytics dashboard.
Location
Mumbai
19.07N 72.87E
Timezone
GMT+5:30
Base
Mumbai, India
Who I Am
A final-year B.Tech IT student at VIT Mumbai, building at the intersection of full-stack engineering and applied machine learning.
I care about clean architecture, meaningful products, and open-source collaboration. My strongest work sits where APIs, data, ML models, and polished interfaces meet.
"Where tradition meets technology."
Curious about systems, grounded in context, and interested in tools that solve real problems.
"Deep work on efficiency."
Focused on workflows that reduce friction instead of adding shiny complexity.
"Discipline in code."
A bias for clear architecture, practical abstractions, and reliable delivery.
Education & Work
2023 - 2027
VIT Mumbai
Final-year IT student building a project portfolio across full-stack systems, applied ML, AI tooling, and deployment workflows.
2024 - Present
Independent portfolio work
Shipping experiments that combine APIs, retrieval pipelines, product interfaces, and deployable engineering practices.
Skills / Workflow / Identity
IDEA
Frame the problem and useful output.
PLAN
Turn ambiguity into a shippable path.
AI HELP
Use models where leverage is real.
CODE
Build clean interfaces and reliable APIs.
REVIEW
Check architecture, edge cases, and UX.
TEST
Verify the behavior and deployment shape.
LEARN
Document what changed and improve the next loop.