Vineet Pandey
Open to work0 years experienceFull-Stack Developer
Full-Stack Developer specializing in React.js, TypeScript, Python, and AI/LLM integration.
Standing Rank
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Developer Badges
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Skills & Technologies
62 skillsWork Experience
Software Engineer Trainee
Mobiloitte
- Build AI-powered applications using RAG pipelines, LangChain, and Python, enabling faster and more accurate information retrieval and generation
- Develop backend APIs with FastAPI and MongoDB, delivering scalable, production-ready services that handle user requests reliably
- Create full-stack features with Next.js, integrating the frontend UI with AI/ML backends to provide seamless user experiences
- Collaborate in agile sprints to deliver features across the full application stack, ensuring timely releases and consistent code quality
Software Engineer Trainee (AI/ML)
Mobiloitte
- Built core backend services for an enterprise diagnostic conversational AI platform (bikaner-laboratory) using FastAPI and MongoDB, managing multi-tenant patient sessions, booking pipelines, and clinical workflows.
- Integrated NLP inference into backend APIs to automate intent classification and routing, reducing manual front-desk triage effort for diagnostic test inquiries.
- Implemented automated PDF clinical report generation (pdf_generator.py) and RBAC audit logging, replacing manual report entry with programmatic generation.
- Assisted with Docker containerization and production deployment, improving environment reproducibility across staging and production.
Frontend Developer Intern
Naavik
- Developed React + TypeScript UI components for client-facing landing pages using CSS Modules and Redux, reducing page load time by ~15% through lazy loading and code splitting.
- Implemented WCAG 2.1 accessibility improvements and audited pages with Lighthouse, raising the accessibility score from 78 → 92 (+18%).
- Contributed to CI/CD pipelines (GitHub Actions) and delivered features across two-week agile sprints, accelerating team velocity by 1 sprint cycle.
Projects
War Tracker – Live Conflict Map & News Timeline
View Project- Built a real-time interactive map with React and Leaflet.js for tracking global conflicts.
- Integrated external news APIs and optimized rendering performance for high-volume live data.
AI Chatbot
View Project- Developed an AI-powered chatbot using React and backend APIs for real-time intelligent query handling.
- Designed an interactive UI for seamless real-time messaging and user engagement.
QuickFind – Local Shops & Services Discovery Platform
View Project- Built a geolocation-based platform to discover nearby shops and services with interactive maps and search filters.
- Implemented performance-optimized UI components for a smooth user experience.
Fake Call App
View Project- Created a React Native app simulating customizable fake calls with scheduling and audio features.
LabAssist AI
View Project- Engineered a local Vector RAG pipeline using ChromaDB to ingest a 12-test clinical catalog (tariffs, fasting rules, sample types), delivering deterministic retrieval-grounded answers that prevent LLM hallucination on pricing and medical instructions.
- Architected a deterministic multi-turn booking FSM that retains conversational context, collects and tracks patient fields (name, phone, test, date, time), and generates structured appointment IDs (LAB-XXXXXX).
- Containerized the full stack with Docker & docker-compose for one-command reproducible deployments; designed Pydantic response schemas for structured API outputs.
AI Sales Intelligence
View Project- Implemented 384-d transformer embeddings + cosine similarity scoring to compute ICP fit scores across a 12-company B2B prospect dataset, ranking and prioritizing inbound leads with priority tiers (HIGH / MEDIUM / LOW).
- Built an LLM-based structured ICP extractor (Llama 3.3 70B via Groq) producing validated JSON outputs, and a 4-class email intent classifier (MEETING_REQUEST, INTERESTED, OBJECTION, NOT_INTERESTED) with keyword + LLM hybrid classification.
War Tracker
View Project- Built an interactive real-time geospatial visualization with React and Leaflet.js for monitoring active conflict zones with live news feed integration via REST APIs.
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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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
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About Details
Professional Bio
Full-Stack Developer with expertise in React.js, TypeScript, Python, and AI/LLM integration. Experienced in building scalable web applications, RAG pipelines, and API-driven backends.
Master of Computer Applications (MCA)
KIET Group of Institutions, Delhi-NCR (2023 - 2025)
Bachelor of Computer Applications (BCA)
Prof. Rajendra Singh (Rajju Bhaiya) University, Prayagraj (2019 - 2022)
Bachelor of Computer Applications (BCA)
Prof. Rajendra Singh University, Prayagraj (2019 - 2022)