I am a Machine Learning Engineer with a strong background in Deep Learning, Computer Vision, and Forecasting. With hands-on experience in deploying models on cloud platforms, particularly AWS, I am passionate about building scalable ML solutions that drive impact.
- Developed an AI-driven tool that provides personalized tax-saving strategies.
- Leveraged WatsonxLLM, LangChain, and Streamlit for real-time strategy generation.
- Created a user-friendly interface to enhance financial decision-making.
- Project Page on lablab.ai
- Developed a FastAPI backend server to communicate with Claude 3 Haiku on AWS Bedrock.
- Runner-up at Geekle.ai Hackathon with an LLM-powered software architecture drawer.
- Developed a CI/CD pipeline for a Spotify ETL process using Terraform, GitHub Actions, and AWS Lambda.
- The pipeline is triggered weekly using CloudWatch, extracting data from the Spotify Web API and saving it to S3.
- Validating Meteosat MSG and Himawari-8 derived solar irradiance: Published in MDPI Energies Read Here
- Reimagining Reality: A Comprehensive Survey of Video Inpainting Techniques: Published in Neurocomputing Read Here
- Dilated Inception U-Net for Nuclei Segmentation: Published in IRJET Read Here
Bachelor of Technology in Chemical Engineering
National Institute of Technology, Raipur (Jun 2019 - May 2023)
Relevant Courses: Data Structures, Data Science, Computer Programming (C++), Deep Learning
Feel free to reach out to me via Email or connect with me on LinkedIn.