VISHWAJEETKUMAR
Software Development Engineer (Backend / Distributed Systems / AI)
Backend-focused Software Development Engineer with experience building scalable systems, low-latency distributed backends, and AI-powered services. Strong in Node.js, NestJS, Redis, PostgreSQL, WebSockets, AWS, and FastAPI, with hands-on open-source contributions to production-grade AI libraries.
About Me
Backend-Focused Software Development Engineer
Backend-focused Software Development Engineer with experience building scalable systems, low-latency distributed backends, and AI-powered services. Strong in Node.js, NestJS, Redis, PostgreSQL, WebSockets, AWS, and FastAPI, with hands-on open-source contributions to production-grade AI libraries. Currently pursuing B.Tech in Computer Science and Engineering (AI Specialization) from University of Lucknow (SGPA: 8.10).
Technical Expertise
Specializing in building real-time distributed backend systems with expertise in microservices architecture, WebSocket communications, Redis caching, and cloud deployment on AWS. Active contributor to open-source AI projects including LangChain, with proven experience in developing high-performance, scalable applications that handle concurrent users and optimize for low-latency operations.
Core Technologies:
Analytical Thinking
Clean Code Practices
Problem Solving
Agile Collaboration
AI Innovation
Creative Solutions
Technical Skills
Expertise in cutting-edge technologies for building intelligent, scalable applications
Languages
Backend Development
Frontend Development
Data & Caching
Cloud/DevOps
Security
AI & ML
Data Structures & Algorithms
350+ Problems Solved on LeetCode
Work Experience
Software Developer Intern
StuFit, Lucknow
Developed and deployed a healthcare web application (Next.js + NestJS + PostgreSQL) for 2000+ users, following Agile SDLC
Implemented authentication (JWT + CASL) to enable secure role-based access, improving application reliability
Collaborated with cross-functional teams to test, debug, and deploy features on time, reducing bug backlog by 20%
Technologies Used:
Cyber Security Intern
CyberGyan – C-DAC Noida
Conducted vulnerability assessments and implemented security protocols, enhancing system security by 20%
Assisted in penetration testing and risk analysis for web-based platforms
Documented cybersecurity incidents and supported the implementation of corrective actions
Technologies Used:
Education
B.Tech in Computer Science & Engineering
Specialization in Artificial Intelligence
University of Lucknow
Current Status
Specialization
Duration
Senior Secondary (XII)
Physics, Chemistry, Mathematics, English
Manas Convent School, CBSE
Secondary (X)
Mathematics, Science, Social Studies, English, Hindi
Manas Convent School, CBSE
Featured Projects
Building intelligent, scalable solutions with cutting-edge AI technology
Real-Time Multiplayer Gaming Platform
Distributed Backend System
Designed and implemented a real-time distributed backend supporting concurrent multiplayer sessions. Used Redis for in-memory state management to ensure atomic operations and prevent race conditions. Built room-scoped WebSocket communication for low-latency state synchronization with reconnection handling for unstable client networks. Deployed stateless services on AWS, enabling horizontal scaling.
Tech Stack:
Distributed URL Shortener
Scalable URL Shortening Service
Developed a scalable URL shortening service optimized for high read traffic. Implemented Redis caching to reduce database load and improve redirect latency. Designed collision-resistant short URL generation with indexed database queries. Added rate limiting and abuse prevention mechanisms. Documented system design trade-offs including cache consistency and availability.
Tech Stack:
AI-Powered Code Review & PR Analysis System
Intelligent Code Quality Assessment
Built an AI-powered system to analyze GitHub pull requests for code quality, security risks, and complexity. Implemented RAG-based pipelines using embeddings to evaluate code against best practices. Generated actionable review summaries to assist developers during code reviews. Designed modular APIs to support multi-repository and multi-language analysis.
Tech Stack:
Agri-Advisor AI
AI-Based Crop Recommendation & Advisory Platform
Built a responsive, farmer-facing platform combining an AI chatbot and dashboard to deliver crop-, soil-, and weather-based recommendations. Integrated real-time data (weather, soil) and image-based disease detection to provide step-by-step remedial guidance and crop suggestions. Designed for scalability and accessibility with planned multilingual support and offline-first/SMS–IVR fallbacks to reach rural users.
Tech Stack:
MindWare
Mental Health Assessment Web Application
Designed and developed with secure authentication and progress tracking. Built analytics dashboards using Chart.js to visualize user insights, improving accuracy by 40%. Integrated an AI chatbot via OpenRouter API for personalized support, demonstrating innovation in enterprise AI-driven wellness solutions.
Tech Stack:
TrackWell
Fitness Tracker Web Application
Developed a responsive fitness tracking platform with user authentication, goal tracking, and real-time analytics using Chart.js. Integrated Gemini API to build an AI-powered chatbot for personalized fitness guidance. Ensured secure backend with JWT, optimized MongoDB, and a seamless mobile experience.
Tech Stack:
Resume Analyzer
AI Career Platform
Developed an AI-driven resume ranking and career recommendation system with 90%+ accuracy. Integrated LLM-based scoring and vector embeddings for contextual analysis. Designed modular API architecture achieving sub-2s response time.
Tech Stack:
Open Source Contributions
Contributing to the open-source community and building production-grade features
Contributed a core feature to LangChain by enhancing init_chat_model, a central API used for initializing chat models across providers. The contribution improved robustness, developer experience, and production readiness of the framework.
Key Contributions:
- Improved input validation and model inference logic in init_chat_model
- Added comprehensive unit tests to ensure correctness and prevent regressions
- Fixed linting issues and resolved CI pipeline failures
- Collaborated with maintainers through multiple review cycles to refine the implementation
- Gained hands-on experience working with a large, production-grade open-source codebase
Tech Stack:
Certifications & Achievements
Professional Certifications
AWS Solutions Architecture Job Simulation
Forage
August 16th, 2025
Designed a simple, scalable, hosting architecture
Deloitte Technology Job Simulation
Forage
August 16th, 2025
Coding Development
Goldman Sachs Operations Job Simulation
Forage
August 16th, 2025
Foundations of operations, Facilitating ultra-high net worth transactions
Prompt Engineering
OpenAI
Full-Stack Development
MERN Stack
Recognition & Community
GitHub Pro Developer
Advanced developer status on GitHub
Google Cloud Innovator
Google Cloud Platform recognition
Tech Equity Collective Member
Google Developers Community
Get In Touch
Let's discuss how I can contribute to your team and build amazing solutions together
Contact Information
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