Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
42 skillsWork Experience
Software Engineer (AI)
Easeworkai
- RAG System Architecture: Built retrieval-augmented generation pipeline for querying historical procurement documents. Implemented vector embeddings using LLMs (openai), stored in vector DB, with semantic search to reduce token usage and hallucination. Achieved 85% accuracy on document retrieval tasks.
- AI Email Parsing Agent: Developed multi-stage NLP pipeline for unstructured email -> structured ticket conversion. Implemented entity extraction, intent classification, and confidence scoring. Auto-routes tickets based on ticket type and rules with RBAC policies.
- N8N style Workflow Engine: Designed system for dynamic procurement flows. Rules engine evaluates supplier tier, product category , and pricing conditions to auto-branch workflows and skip unnecessary approval steps (reducing manual cycle time by 70%).
- Full-Stack Ownership: Shipped 3 concurrent B2B projects end-to-end. Built Next.js/React UIs with real-time updates, FastAPI backends with async task queues, MongoDB schemas for document storage and RAG indexing.
- Tech Stack: Python (FastAPI), Next.js, React, TypeScript, Tailwind CSS, MongoDB, Vector DB(ChromaDB), LLMs, Langchain, Langgraph
Founding Engineer
Worck (lazyfind)
- Developed and deployed a blue-collar service booking mobile app enabling workers (plumbers, electricians, cleaners, etc.) to create service profiles and accept job bookings.
- Covering 20+ production-ready screens including user onboarding, role based JWT authentication, profile creation, booking flow, push notifications, real time updates for both customers and service providers.
- Stack: Next.js, React Native Expo, TypeScript, Tailwind/Nativewind, Shadcn, Postman, Vercel, Figma
Frontend Engineer
Extuent
- Joined via client referral to build the frontend for an advanced AI tool suite.
- Delivered full dashboards, multi-stage form flows, API integrations and state management infrastructure end-to-end.
- Shipped responsive, maintainable interfaces with strong design accuracy and performance.
- Stack: React.js, Tailwind CSS, JavaScript, Postman, Vercel
Projects
Antiburnout.ai
- Built an AI-native desktop application that monitors screen time and system activity in real time to detect burnout patterns and recommend personalized break interventions.
- Developed an AI assistant + agent workflow that suggests productivity , wellness, and device-setting optimizations based on user context, activity patterns, and behavioral inputs.
- Implemented background system monitoring for device signals including audio usage, brightness levels, night-time usage, and screen activity to generate contextual recommendations.
- Integrated LLM-powered activity recommendations and conversational support for stress reduction, focus improvement, and healthier work sessions.
BetForHabit
- Built a habit commitment platform where users stake money on completing a habit challenge (e.g., 30 days). Users either win rewards by completing the challenge or lose the stake if they fail.
- Implemented user and admin systems includes, authentications, wallet logic, challenge life-cycle (active, lost, under verification) considering the timeline, payment verification workflows, and proof-based habit completion validation, notifications for admin, real-time chat support, notification system for global or individual users and media proof uploads via Cloudinary
Grazias
- A platform that helps businesses collect, manage, and showcase customer testimonials through custom forms, styled review walls, and embedded widgets.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Document Retrieval Accuracy
Achieved 85% accuracy on document retrieval tasks.
Workflow Efficiency Improvement
Reducing manual cycle time by 70%.
About Details
Professional Bio
Full-stack AI Engineer with expertise in RAG system architecture, NLP pipelines, and building scalable B2B applications. Experienced in developing AI-native desktop apps and full-stack web solutions using Python, FastAPI, Next.js, and TypeScript.
Bachelor of Engineering in Computer Engineering
Savitribai Phule University, Pune (2020 - 2024)