🚀 Backend Engineer | AI Systems | Fintech Infrastructure

I specialize in building AI-powered systems and scalable backend platforms using multi-LLM orchestration, RAG pipelines, and production-grade APIs. Currently building GenAI chatbots at FactSet (Star Award Winner 2025) with proven impact reducing support queries by 40% and scaling organizational AI adoption from 15% to 35%.

Backend & APIs: Node.js • Express • Python • FastAPI • RESTful APIs • WebSocket • JWT Auth
Databases: PostgreSQL • MongoDB • Redis • Neo4j • ChromaDB • Weaviate • Prisma ORM
AI/ML Systems: OpenAI • Claude • Gemini • RAG Pipelines • LangChain • LlamaIndex • Vector Search
Cloud & DevOps: AWS (EC2, S3, Lambda) • Docker • PM2 • CI/CD • Nginx
Fintech APIs: Plaid • Unit Banking • Stripe • OAuth & Webhooks
Other: Bull Queue • Celery • Async Processing • Database Optimization

Oct 2025 - Present

• Received FactSet's Star Award 2025 for GenAI and chatbot technical contributions
• Eliminated 40% of support queries by building production AI chatbot with multi-format document parsing
• Improved retrieval accuracy from 65% → 85% through normalized chunking and RAG pipeline optimization
• Scaled AI adoption from 15% → 35% across organization, enabling 8+ teams to deploy chatbots 30% faster

Apr 2024 - Aug 2024

Contributed to backend and AI platform development for early-stage SaaS startup:

• Multi-Tenant SaaS Platform: Developed 20+ RESTful API endpoints for authentication, payments, and AI service integration; implemented multi-LLM routing (Claude/GPT/Gemini) for cost optimization
• Enterprise Data Integration: Built OAuth2 modules for Google Analytics, Snowflake, PostgreSQL with AES-256-GCM encryption; created NLP query interface for BigQuery, HubSpot, Shopify
• AI Research Automation: Implemented autonomous research platform reducing manual work from 40+ hours to <2 hours using web scraping and hybrid vector search
• Game Creation Platform: Developed FastAPI backend generating HTML5 games from natural language in <2 minutes with async task management

Node.js, PostgreSQL, Plaid, Stripe, Unit Banking | 2025

Built MVP to simplify fragmented banking experience:

• Integrated Plaid, Unit Banking, and Stripe APIs for transaction processing and account aggregation
• Reduced manual expense tracking by 95% (5 min → 15 sec) using OCR + OpenAI categorization
• Implemented JWT rotation, bcrypt hashing, S3 encryption, Docker CI/CD

Python, FastAPI, OpenAI, AWS Polly | 2024

• Built FastAPI backend with OpenAI and AWS Polly for custom audio streaming in <200ms
• Implemented JWT auth, PostgreSQL user management, S3 storage
• Deployed on AWS EC2 with Docker-based CI/CD

Smart India Hackathon Grand Finalist (Nov 2023)

Built real-time news tracking app in 4 weeks designed to reduce crisis-escalation time through automated sentiment analysis and geographic clustering.

Oct-Dec 2023

Automated video generation system for press releases using TTS and image synthesis, reducing manual video creation from hours to minutes.

Dec 2023-Jan 2024

Multilingual conversational AI service using LLaMA-2/BART for query handling and automated summarization across 5+ languages.

• 🌟 Star Award - FactSet Research Systems (2025) for GenAI & Chatbot Contributions
• 🏆 Grand Finalist - Smart India Hackathon 2023 & 2022 (Top 1% of 50K+ teams)
• 🥇 Winner - Toycathon 2021 Digital Edition ("Project Mythos")
• 📜 Generative AI Application Development - Databricks (Mar 2025)
• 📜 Generative AI Solutions Development - Databricks (Mar 2025)
• 📜 The MCP Course - Hugging Face (Jun 2025)
• 📜 Databricks Fundamentals - Databricks (Valid till Mar 2026)
• 👨‍💼 Coordinator - Center for Innovation & Entrepreneurship (2021-2023)
  • Organized hackathons and mentored 120+ students in IoT/embedded systems

B.Tech. Computer Science & Engineering (Data Science & AI)
SRM University, Delhi-NCR Sonipat | GPA: 8.65/10 | 2020-2024

📧 Email: shryesth4236@gmail.com
💼 LinkedIn: linkedin.com/in/shryesth-pandey
💻 GitHub: github.com/shryesth

💡 Currently: Building AI chatbots at FactSet, exploring agentic workflows, and scaling enterprise AI adoption
🚀 Open to: Backend engineering roles, AI/ML projects, and startup opportunities in fintech or SaaS