Junior Full-Stack AI Engineer

Aniruddh D. Nagare

+91-770******* **********@*****.*** linkedin/aniruddhnagare github/anii

Experience

SOFTWARE DEVELOPMENT INTERN Dec 2024 – Mar 2025

Efficienergi Consulting Pvt. Ltd. Mulund, Mumbai

• Developed AI-powered SLD component detection using YOLO-v8, achieving 92% classification accuracy on electrical schematic diagrams, reducing manual component tagging time significantly.

• Built cross-platform mobile features with Flutter and integrated REST APIs for real-time data sync across field engineer workflows.

WEB DEVELOPMENT INTERN Jun 2023 – Aug 2023

Aevum Solutions Mumbai

• Built full-stack trading platform using Python/Flask + React with real-time WebSocket streaming, supporting live transaction monitoring for daily trading workflows.

• Improved frontend performance via code splitting and lazy loading, reducing initial page load time for data-heavy dashboard views.

JAVA FULL STACK DEVELOPER INTERN May 2022 – Aug 2022 CrossAsyst Infotech Pvt. Ltd. Navi Mumbai

• Developed online bidding platform with Spring Boot + PostgreSQL, implementing JWT authentication and RBAC for secure multi-role auction management.

• Built RESTful APIs with WebSocket support for real-time bid updates across concurrent users. Technical Skills

Languages : Java, TypeScript, Python, SQL

Frontend : ReactJS, React Native, Flutter

Backend : Spring Boot, Node.js, FastAPI, Flask

Databases : MongoDB, PostgreSQL, SQLite, Redis, Qdrant Cloud & DevOps : Kubernetes, Docker, AWS (EC2, S3, Lambda), Google Compute Engine AI / ML : LangChain, LangGraph, N8N, HuggingFace

Projects

BIDWISE — BIDDING PLATFORM Spring Boot, Node.js, FastAPI, Redis, Docker, Kubernetes Live

• Architected a 6-service polyglot microservices system (API Gateway, User, Auction, Bid, Payment, Notification) with WebSocket-driven live bid streaming, proxy/auto-bid logic, and Redis Pub/Sub event coordination without a message broker.

• Resolved ARM64 Docker image compatibility failures across service boundaries during Kubernetes deployment on Minikube; engineered cross-service JWT propagation via Spring Cloud Gateway for distributed auth.

• Integrated Razorpay payment processing (FastAPI) and AWS S3 for asset storage; full stack containerized via Docker Compose with Kubernetes manifests for auto-scaling and high availability. AGENTIC RAG SYSTEM Express.js, Qdrant, Valkey, Docker, AWS, OpenAI API Live

• Built agentic retrieval pipeline using Qdrant vector search + Valkey caching, with dynamic routing between retrieval, cached response, and live generation — reducing redundant LLM calls and improving accuracy over naive RAG. AI-RECRUITER Next.js, Express.js, MongoDB, Vapi AI, AWS EC2, Docker Live

• Built real-time mock interview platform using Vapi AI for audio processing with sub-2s response latency; implemented JWT auth + rate limiting across concurrent sessions; deployed on Vercel + AWS EC2 via Docker. GENETIC ALGORITHM — TIMETABLE GENERATOR Flask, Python, Pydantic, SQL Live

• Engineered a constraint-satisfying genetic algorithm optimizing faculty-classroom-timeslot allocation across 50+ subjects, cutting manual scheduling effort by 80%; deployed on Google Compute Engine with Cloud Storage. Education

DATTA MEGHE COLLEGE OF ENGINEERING Airoli, Navi Mumbai Bachelor of Engineering in Information Technology; CGPA – 8.16 Aug 2023 – May 2026 VIDYALANKAR POLYTECHNIC Wadala, Mumbai

Diploma in Information Technology Dec 2020 – Jun 2023 Achievements

AWS Academy Machine Learning Fundamentals – Amazon Web Services Technothon ’23 Finalist – Top 10 teams nationwide for innovative AI solution Coherence ’24 Finalist – Technical excellence in competitive coding and system design

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