• 🔭 I'm currently working as AI/ML Engineer at Kitsa (USA - Remote)

• 🌱 I'm currently learning AI Agents, Multi-Agent Systems, LLMs, RAG, Cloud Architecture

• 👨‍💻 All of my projects are available at My Portfolio

• 💬 Ask me about AI/ML, Backend Development, FastAPI, PostgreSQL, Multi-Agent Systems, Cloud Deployment

• 📫 How to reach me aayush9119@gmail.com

• 📄 Know about my experiences Click here for Resume

• ⚡ Fun fact I've curated 200K+ clinical trial records and built systems that understand your meal from text, audio, and images - yet I still sometimes forget what I had for breakfast!

• Bachelor of Technology in Computer Science and Engineering
  Babu Banarasi Das Institute of Management and Technology (Sept 2021 – June 2025)
  GPA: 8.2/10.0
  Coursework: Data Structures, Design and Analysis of Algorithms, Python Programming Language

Kitsa | USA - Remote | June 2025 – Present

• Spearheading the curation of a 200K+ record clinical trial sites database, resolving 30,000+ duplicate entries and correcting 67,000+ location inconsistencies to improve data accuracy and reliability
• Built and optimized 15+ backend endpoints using FastAPI, PostgreSQL, and SQLAlchemy, enabling seamless access and manipulation of site data by internal tools and AI-driven curation agents
• Designed and implemented fuzzy matching algorithms that increased duplicate detection accuracy by 35%, and used PostGIS to geospatially validate and enrich 50K+ location entries
• Collaborating with ML and product teams to deliver a scalable, production-grade database system, laying the groundwork for deployment of AI-powered curation agents expected to reduce manual review time by 70%

Super.Family | Remote | December 2024 – May 2025

• Built and deployed the backend for a Nutrition and Health Insight App, enabling real-time tracking of health and wellness. Developed 80+ RESTful APIs using Node.js, Express, and PostgreSQL (Prisma ORM)
• Created 2+ FastAPI microservices, including an AI-powered Meal Plan Generator and Health Insight Engine, integrating data from Google Fit and Apple HealthKit for personalized analytics
• Designed a multimodal meal log system supporting text, audio, and image input, and leveraged Azure Cosmos DB for scalable, time-series health data storage
• Deployed 5+ services on Azure Cloud using CI/CD pipelines, GitHub Actions, and App Service Build Service for seamless, automated delivery

Lucknow AI Labs | Lucknow, U.P. | April 2024 – Present

• Delivered an online session on AI/ML and RAG-based applications to an audience of 80+ students at SRMCEM, Lucknow
• Contributed over 80+ hours to NAWAB AI, an open-source project designed to bridge the gap between users and local culture, news, and insights about Lucknow
• Updated and optimized the Lucknow AI website, improving user engagement by 30% through a clean and concise redesign

• Developed a Multi-Agent Architecture System that generated 20+ actionable AI/ML-driven use cases tailored to specific industries, enhancing customer experiences and operational efficiency using the Crew AI Framework
• Conducted market research and resource linking, compiling 15+ industry-standard datasets from Kaggle, HuggingFace, and GitHub to support use cases, while optimizing report generation with segmented information retrieval
• Tools Used: CrewAI, Serper API, Github API, HuggingFace API, Python, AI-Agents

• Contributed to AI-powered chatbot bridging the gap between users and local culture, news, and insights about Lucknow
• Enhanced accuracy of desired output by 40% using AI Agents Framework
• Reduced response time by 50% using Groq API
• Tools Used: Google Gemini, Python, FastAPI, Groq, RAG, LangChain

• Natural Language Processing (NLP)
• Machine Learning & Deep Learning (ANN, CNN)
• RAG (Retrieval-Augmented Generation)
• LLMs & AI Agents
• Multi-Agent Systems (CrewAI)
• Hugging Face Transformers
• LangChain & LLAMA Index

• Python For Data Science (IIT Madras NPTEL)
• AWS Cloud Practitioner (AWS)