
BSR SANKETH
@bsrsanketh
I build production-minded AI systems, model-serving platforms, and full-stack applications.
What I'm looking for
I've built production-minded AI systems spanning model serving, computer vision, and retrieval over live data.
In my Model Serving Layer project, I increased inference throughput 4.2x from 32 to 135 requests per second using dynamic request batching, while reducing p99 latency from 8695ms to 82ms. I designed bounded queues, shape bucketing, and backpressure behavior to keep performance predictable under saturation.
I've also built an insurance claim estimation application using YOLOv8, React, Node.js, and Flask, achieving approximately 85% mAP across four vehicle-damage classes. My Agentic RAG project uses FastAPI, LangChain, pgvector, PostgreSQL, and Redis to select between SQL, vector search, and live API retrieval.
At KodNest Technologies, I developed reproducible Python data science workflows for cleaning, analysis, feature engineering, model evaluation, and visualization. I'm backed by a Computer Science and Engineering degree, AWS Cloud Practitioner certification, and hands-on work across AI, computer vision, backend systems, and full-stack development.
Experience
Work history, roles, and key accomplishments
Data Science Intern
KodNest Technologies
Feb 2026 - May 2026 (3 months)
Built end-to-end data science workflows in Python, covering data cleaning, exploratory analysis and feature engineering on tabular datasets with pandas and NumPy. Trained and evaluated supervised learning models using scikit-learn, comparing algorithms on held-out data and tuning hyperparameters to improve validation performance.
Education
Degrees, certifications, and relevant coursework
Acharya Institute of Technology
Bachelor of Engineering, Computer Science and Engineering
2022 -
Grade: 8.0/10
Pursuing a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.0/10.
Sir MV PU College
Pre-University, Science (PCMB)
2020 - 2022
Grade: 84%
Completed pre-university education in Science (PCMB) with a percentage of 84%.
M.K.E.T L.K English Medium School
SSLC, General
2019 - 2020
Grade: 83%
Completed SSLC with a percentage of 83%.
Amazon Web Services
AWS Certified Cloud Practitioner, Cloud Computing
Earned the AWS Certified Cloud Practitioner certification.
Coursera
Deep Learning Specialization, Deep Learning
Completed the Deep Learning Specialization.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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