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Harsh5840/readme.md

πŸ’« About Me:



πŸ‘‹ Hello, I'm Harsh Shukla!


Full-Stack Developer | AI/ML Engineer |
Cloud Infrastructure Enthusiast ☁️
I am a results-driven Full-Stack Developer specializing in building highly scalable, production-ready applications with a focus on GenAI integration and robust cloud architecture. I am currently pursuing a Bachelor of Engineering in Computer Science & Business Systems at Thapar Institute of Engineering & Technology (Expected 2027) .





πŸ’Ό Current Status & Goal (Open to Work)
πŸ”΄ I am OPEN TO WORK and actively seeking challenging Internships and Full-Time Roles in Software Development and AI Engineering.

πŸ’‘ Technical Skills Mastery
My stack is built around modern, high-performance technologies, emphasizing both development speed and engineering resilience.


Languages: JavaScript , TypeScript , Python , C++(OOPS) , SQL



Frontend: React.js , Next.js , Tailwind , Framer Motion , GSAP


Backend/DB: Node.js , Express.js , Websockets , PostgreSQL , MongoDB , Prisma


AI/ML/LLMs: RAG , Langchain , PineconeDB , LLM Prompting , Groq/OpenAI APIs , VertexAI


DevOps/Cloud: Docker , AWS , CI/CD pipelines , Nginx





🏒 Professional Experience

Full-Stack Developer, Talkeys (Startup) (Jan 2025 - Present)

Engineered a high-performance, scalable event booking platform using Next.js, Express.js, and MongoDB.

Supported over 5,000+ monthly users and achieved a 30% reduction in system latency.

Integrated secure payment and authentication systems (Razorpay, OAuth 2.0, JWT) , improving transaction security compliance by 40%.

Redesigned the user interface with React.js/Next.js , leading to a 25% increase in user engagement.

πŸš€ Key Projects & Impact
1. LedgerX - AI-Powered Banking & Ledger Management System 🏦

Designed a robust double-entry ledger system supporting over 50,000 transactions.

Enhanced transaction integrity by 100% and ensured compliance readiness for financial reporting.

Developed a hybrid machine learning fraud detection framework (LangChain/Gemini LLM) , increasing threat detection accuracy by 35%.

Optimized deployment speed by 40% , while implementing strict RBAC controls across more than 30 REST APIs.

2. AI Scrum Master Agile Workflow Automation Platform πŸ€–

Integrated Google Gemini AI with a RAG-powered Q&A system , achieving over 90% accuracy in sentiment and blocker detection.

Enhanced decision-making speed by 35%.

Resulted in streamlined data management for 20+ REST endpoints and reduced manual interventions by 40%.

3. AI-Powered Multi-Assistant Platform πŸ’¬

Engineered a scalable platform supporting 8+ specialized GPT agents.

Facilitated real-time collaboration across chat rooms with 1K+ concurrent users , enhancing user engagement by 40%.

Achieved sub-2-second response times using GROQ's Llama 3.3 70B model.

Deployed 20+ RESTful API endpoints with 99.9% uptime.

⭐ Achievements & Recognition
Led a team to the finals of Google AI Agentic Day (Bangalore).

Awarded Merit-II scholarship at Thapar Institute after scoring 97.8 percentile in JEE.

Completed Fullstack + DevOps Bootcamp (100xDevs) and LangChain course (DeepLearning.AI).



Let's Connect!
shuklaharsh5840@gmail.com

🌐 Socials:

LinkedIn email

πŸ’» Tech Stack:

C C++ CSS3 Go HTML5 JavaScript Python TypeScript Windows Terminal AWS Azure DigitalOcean Google Cloud Render Vercel Chart.js Context-API EJS Express.js FastAPI jQuery JWT NPM Next JS NodeJS Nodemon React React Query React Router React Hook Form Redux SASS Socket.io Streamlit TailwindCSS Three js Vite Nginx AmazonDynamoDB Firebase MongoDB MySQL Postgres Redis Supabase Prisma GitLab CI GitHub Actions Git GitHub Mocha Vitest Docker Kubernetes Notion OpenAPI Specification Postman

πŸ“Š GitHub Stats:



πŸ† GitHub Trophies

✍️ Random Dev Quote

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