Senior Full-Stack Engineer - AI & AWS

HASEEB SHAHID

Senior Full-Stack Engineer

Brooklyn, NY 11235 929-***-**** ******.*.*****@*****.*** PROFESSIONAL SUMMARY

Senior Full-Stack Engineer with over 07 years of professional experience building enterprise-grade AI-powered applications and scalable web platforms for global clients. Expert in MERN stack (MongoDB, Express.js, React.js, Node.js), Python/FastAPI, LLM integration (OpenAI, Anthropic), and AWS cloud infrastructure. Proven track record architecting end-to-end solutions serving 100,000+ users, leading distributed teams, and delivering production systems with 99.9% uptime.

TECHNICAL SKILLS

• AI/ML & LLM Integration: LangChain, LlamaIndex, Haystack, OpenAI API, Anthropic Claude API, RAG

(Retrieval-Augmented Generation), Multi-Agent Systems, Prompt Engineering, Fine-tuning, Vector Databases

(Pinecone, Weaviate, Chroma, FAISS, Qdrant).

• Backend Development: Python (Expert), JavaScript/TypeScript (ES6+), Node.js, FastAPI, Flask, Django, Express.js, NestJS, MongoDB (Expert), PostgreSQL, Redis, GraphQL (Apollo), gRPC.

• Frontend Development: React.js (Expert), Next.js (App Router), Angular, TypeScript, Redux Toolkit, Zustand, React Query, Tailwind CSS, Material-UI.

• Cloud & DevOps: AWS (EC2, Lambda, S3, RDS, DynamoDB, Bedrock, SageMaker), Docker, Kubernetes, Terraform, CloudFormation, GitHub Actions, CI/CD.

• Architecture: Microservices, Event-Driven Architecture (Kafka, RabbitMQ, AWS SQS), Serverless Computing, Domain-Driven Design (DDD), CQRS.

PROFESSIONAL EXPERIENCE

Senior Full Stack Developer

Devdisruptors, Willingboro, NJ February 2021 – Present

• Architected and deployed production AI applications serving 100,000+ users using LangChain, OpenAI API, and custom RAG pipelines.

• Built scalable LLM integration systems processing 500K+ API calls daily with caching and rate limiting, reducing costs by 60%.

• Implemented multi-agent AI workflows for automated content generation, customer support, and data analysis with GPT-4 and Claude.

• Designed vector database architectures using Pinecone and Chroma for semantic search across 10M+ documents with sub-100ms query times.

• Developed custom prompt engineering frameworks improving LLM output quality by 45% through systematic testing.

• Led development of 15+ enterprise MERN stack applications for SaaS, fintech, e-commerce, and healthcare clients with 99.9% uptime.

• Architected microservices platforms handling 10M+ requests/day using Node.js, Python/FastAPI, MongoDB, and Redis.

• Built real-time collaboration features (chat, video, screen sharing) using WebRTC and Socket.io for 50,000+ concurrent users.

• Optimized database performance, reducing query times by 85 through indexing and caching.

• Established CI/CD pipelines using GitHub Actions and AWS CodePipeline, reducing deployment time by 70%.

• Managed AWS infrastructure for production applications with auto-scaling and multi-region deployment.

• Led distributed teams of 8–12 engineers across multiple time zones using Agile/Scrum methodologies.

• Mentored 15+ junior and mid-level developers and managed technical hiring by evaluating 100+ candidates. Full Stack Developer

ThoughtWorks, New York, NY September 2018 – January 2021

• Developed 10+ full-stack web applications using MERN stack for startups and enterprise clients.

• Built e-commerce platforms with payment gateway integrations (Stripe, PayPal) for 25,000+ daily transactions.

• Created SaaS applications with multi-tenancy, role-based access control, and usage analytics.

• Improved application performance by 50% through code splitting, lazy loading, and bundle optimization.

• Reduced database query times by 70% implementing proper indexing and connection pooling.

• Implemented server-side rendering (SSR) with Next.js improving SEO and initial page load by 60%.

• Optimized API endpoints handling 1M+ requests/day with Redis caching and rate limiting.

• Deployed applications on AWS with automated backups and created CI/CD pipelines with GitHub Actions.

• Achieved 85%+ code coverage across projects through rigorous testing with Jest and Cypress. EDUCATION

Bachelor of Science (Computer Science)

New York Institute of Technology, NY March 2015 – August 2018 NOTABLE PROJECTS

• AI Document Intelligence Platform: Built RAG architecture for Q&A across 5M+ documents with 92% accuracy, reducing processing time by 80%.

• Real-Time Collaboration SaaS: Architected multi-tenant platform with WebRTC supporting 10,000+ concurrent video calls and 50,000+ active users.

• Fintech Dashboard & Analytics: Created real-time financial analytics dashboard processing 10M+ transactions daily with D3.js visualizations.

TECHNICAL INTERESTS

Large Language Models (LLMs), Distributed Systems, Real-time Web Applications, Cloud-Native Architecture, Performance Optimization at Scale.

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