Building intelligent products that connect strong engineering with useful, human-centered experiences.
I'm a second-year Computer Science undergraduate specializing in AI & Machine Learning. What started as curiosity about how software works has become a habit of building complete products—from data and models to APIs and interfaces.
I enjoy taking an unclear idea, finding the real user problem, and turning it into something people can understand and use. I move comfortably between research, product thinking, engineering, and visual polish.
I work where applied AI meets dependable software: retrieval systems, agent workflows, backend platforms, analytics, and the interfaces that make them useful.
Started my B.Tech in Computer Science, focusing on AI/ML while strengthening algorithms, DBMS, operating systems, and software design.
Converted hackathon briefs into working AI products, earning a 1st place, a 3rd Runner-Up finish, and multiple national finalist selections.
Products across AI, civic technology, career intelligence, sustainability, analytics, and real client work—each built around a clear problem.
A practical web-development studio helping small businesses and professionals build clear, mobile-friendly websites.
AI + Web3 civic accountability for reporting issues, verifying repairs, and preserving public proof.
A warm, ordering-focused web presence for a 100% eggless home bakery in Jabalpur.
An AI career architect with ATS scoring, industry mapping, and a guided mentor experience.
Isolation Forest analysis for uploaded datasets and real-time system metrics.
Computer vision for e-waste recognition, recycling rewards, and nearby smart-bin discovery.
Preventive food intelligence that turns labels and receipts into clear nutrition checks, additive alerts, and healthier Indian alternatives.
An AI companion inside LMS video players with contextual Q&A, smart summaries, concept navigation, and spaced-repetition quizzes.
AI + blockchain escrow for safer freelancer and vendor payments through fund locking, proof submission, and transparent deal tracking.
An accessible multilingual election guide with explainers, a voter-registration wizard, civic learning tools, and a Gemini assistant.
An AI quiz platform where Gemini evaluates answers and qualifying learners receive policy-controlled USDC rewards on Base.
A clinical reasoning sandbox for patient prioritization, drug-interaction checks, and evidence-backed decisions under time constraints.
RAG pipelines, multi-agent systems, model evaluation, embeddings, and intelligent decision workflows.
Reliable APIs, async workflows, authentication, real-time features, and service architecture.
Responsive interfaces that translate complex functionality into straightforward experiences.
Analytics, data pipelines, containers, observability, and automated deployment practices.
Evidence of learning in public: products shipped, competitions converted into working systems, open-source contributions merged, and ideas carried into production.
AI Startup Design Challenge
TIT Srijan · Top 10 of 380+ teams
National deep-tech finalist
Participants · Grand Finale finalist
GSSoC 2026 open source
AI & ML specialization at Baderia Global Institute of Engineering and Management, Jabalpur.
Co-building a web studio for small businesses; delivered its first production client platform for Manu's Mom's Cake with ordering flows, live estimates, local SEO, and mobile-first UX.
Weburate ↗Aanya Jain ↗Turned a preventive food-health product into a complete startup case across product strategy, business model, branding, marketing, and pitch.
Built and pitched an LMS-native RAG learning companion in 24 hours; advanced from 380+ teams to the Top 57, Top 10, and final podium.
Reached the BIOTHON Grand Finale from 1,200+ registered participants, placed in BuildVerse's Top 20 with CityPramaan, and advanced with SealPay at Global Buildathon.
Shipped two merged pull requests: an end-to-end cancellation pipeline for Heliox-OS and IndexedDB workout persistence for spectrax_1.
GSSoC profile ↗Built MedTriage, EarnIQ, Bharat Chunav Mitra, and AI safety workflows; selected for GSSoC, Social Summer of Code, and Nexus Spring of Code, with participation across national AI and innovation programs.
Practicing across LeetCode and Codeforces with work spanning graphs, dynamic programming, greedy methods, and binary search.
Tell me what you're building, the problem you want to solve, or the role you're hiring for. I usually respond within one working day.