I am an AI/ML Engineer with expertise in backend development, cloud infrastructure, and AI-powered solutions. Currently working at Kitsa (USA - Remote), I spearhead the curation of a 200K+ record clinical trial sites database, building scalable backend systems using FastAPI, PostgreSQL, and SQLAlchemy. Previously, as an SDE Intern at Super.Family, I developed 80+ RESTful APIs using Node.js and FastAPI microservices, integrating health data from Google Fit and Apple HealthKit. My passion lies in solving complex problems through scalable architectures and intelligent AI systems. I have extensive experience with RAG-based applications, LLM integrations, and frameworks like CrewAI and LangChain. As an active contributor to Lucknow AI Labs, I've delivered sessions on AI/ML to 80+ students and contributed 80+ hours to open-source projects like NAWAB AI. With a strong foundation in cloud platforms (Azure, AWS, GCP), database systems (PostgreSQL, MySQL, VectorDB), and CI/CD pipelines, I continuously evolve to stay at the forefront of AI and backend engineering.
0 + Projects completed
AI/ML Engineer with 1.5+ years of experience building scalable backend systems, cloud-native solutions, and AI-powered applications. Specializing in FastAPI, Node.js, PostgreSQL, Azure, and LLM-based architectures to solve real-world problems through intelligent engineering.
Spearheading AI-driven curation of a massive clinical trial sites database with advanced data processing and backend systems.
Built backend infrastructure for a Nutrition and Health Insight App with real-time health tracking capabilities.
Contributing to open-source AI projects and mentoring students in AI/ML technologies.
GPA: 8.2 / 10.0
Coursework: Data Structures, Design and Analysis of Algorithms, Python Programming Language
PCM: 92.6%
Below are the sample projects on ML, NLP, Deep Learning & Web Scraping
Developed a Multi-Agent Architecture System that generated 20+ actionable AI/ML-driven use cases tailored to specific industries using CrewAI Framework. Conducted market research and resource linking with 15+ datasets from Kaggle, HuggingFace, and GitHub.
Lucknow Artificial Language and Learning Assistance Network - A production-grade RAG-based chatbot built for Lucknow, providing local culture, news, and city insights to users.
Performed natural language processing using machine learning algorithms to predict sentiment of a person with high accuracy.
Developed an internship scraper web application that scrapes internships according to user needs and preferences.
Used a Kaggle Dataset for churn prediction and analysis to identify patterns in employee retention.
Below are the details to reach out to me!
Lucknow, India