I'm an open-source technology enthusiast with a keen interest in Backend Development, Data Engineering, and Applied Machine Learning. I love building scalable systems and contributing to projects that make a difference.
- Languages & Frameworks: Python, Django, Flask, NumPy, Pandas, TensorFlow, PyTorch, Scrapy, OpenCV, Tkinter, OpenAI, Boto3, SQLAlchemy, PGVector, LangChain
- Tools & Platforms: AWS S3, AWS Lambda, AWS Bedrock, Git, GitHub, Ubuntu, Docker, DynamoDB, MongoDB, PostgreSQL, ArcGIS Pro
- Databases: DynamoDB, MongoDB, PostgreSQL (with PGVector extension)
- Other Skills: Semantic Search, ETL Pipelines, Computer Vision, Natural Language Processing
- Developed a Flask API that performs semantic search using embeddings and cosine similarity.
- Achieved 5% faster retrieval by storing embeddings with the PGVector extension in PostgreSQL.
- Enhanced search operations for large datasets with efficient indexing.
- Engineered a scalable batch processing pipeline using AWS Lambda.
- Validated and transferred CSV files from S3 into DynamoDB for efficient data handling.
- Implemented AWS Secrets Manager for secure credential management.
- Created a computer vision-based model to manage over 100+ patients in physiotherapy.
- Reduced costs by 5% through automation and improved accuracy.
- Deployed an AI algorithm with 95% accuracy for real-time interpretation of medical device readings.
- Reconstructed 2D neighborhood maps into 3D layouts with 90% accuracy using ArcGIS Pro and Mask R-CNN.
- Provided insights for urban planning by analyzing critical infrastructure.
- Actively participated in events like Open Source Day, Hacktoberfest, and Common Voice Sprint.
- Contributed to communities such as Open Source Lab, VVCE, and Mobi at UTA.
- Organized workshops and training sessions to promote open-source development and social coding.
- Website: srikeerthi.dev
Feel free to reach out if you'd like to collaborate on open-source projects or discuss technology!