About Me
I'm Sarthak Sharma, a Computer Science (AI) graduate from Bennett University, passionate about building AI systems that solve real problems. My focus areas are Generative AI, Data Science, and backend development, with hands-on experience across LLM fine-tuning, RAG pipelines, recommendation systems, and machine learning workflows.
Through internships at Spacekayak, Star Vacays, and Eleva AI, I've worked with real-world data, deployed models on AWS, and built production APIs using Python and FastAPI. I've also built projects like NyayaSaathi, an offline legal-aid bot using RAG, and agentic AI tools for data analysis.
My strength is shipping fast, taking an idea from concept to a working, deployed solution. I'm always learning, whether it's a new framework, a research paper, or a tough debugging problem. I'm looking to grow as an AI/ML engineer and contribute to teams building practical, impactful AI products.
1
Machine Learning Project
1
Deep Learning Project
Key Skills
My Projects
My Experience
Superteam India — Web3 & AI Contributor
2024 – Present
- Active contributor in the Superteam India ecosystem, participating in multiple Web3 and AI bounties across the Solana developer community.
- Secured 3rd place all over India in a Solana hackathon (Watchtower), winning a cash prize for building an AI-powered Web3 solution.
- Engage regularly with the Superteam DAO community, collaborating on projects and helping peers debug technical problems.
Eleva AI, Vadodara — AI Developer
May 2025 – Dec 2025
- Developed and deployed backend systems using Python and FastAPI, building and testing REST APIs for multiple client projects.
- Launched and managed AWS EC2 instances to host and deploy client websites and applications, owning the end-to-end deployment process.
- Delivered custom API solutions across different clients, covering development, integration, and testing.
Star Vacays, Remote — Data Science & AI Developer Intern
Jul 2024 – Mar 2025
- Built an AI-powered recommendation system for a vacation booking platform, personalizing destination suggestions to improve user engagement.
- Worked with real-world production data, handling cleaning, preprocessing, and feature engineering to prepare messy datasets for modeling.
- Applied data science techniques including EDA and model building to support the platform's personalization features.
Spacekayak, Remote — Machine Learning Engineer Intern
Oct 2023 – Jan 2024
- Built an AI headshot generation system using generative AI models to produce professional headshots from user inputs.
- Used Stability AI's Stable Diffusion and Stable Video Diffusion to create a pipeline for Flipkart product content.
- Fine-tuned the Zephyr LLM for Flipkart product comparison and summarization, building custom LLM workflows before frameworks like LangChain were widely adopted.
- Ran generative AI and LLM workloads on high-compute GPU-backed AWS instances.
Awards & Certificate
Let's Work Together!
Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.
[email protected]
Call Me