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BSR SANKETHBS
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BSR SANKETH

@bsrsanketh

I build production-minded AI systems, model-serving platforms, and full-stack applications.

India
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What I'm looking for

I'm looking to build AI, machine learning, backend, or full-stack products where I can turn models into reliable systems, work with real-world data, and continue growing through hands-on engineering challenges.

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

KT

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 logoAT

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.

SC

Sir MV PU College

Pre-University, Science (PCMB)

2020 - 2022

Grade: 84%

Completed pre-university education in Science (PCMB) with a percentage of 84%.

MS

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 logoAS

Amazon Web Services

AWS Certified Cloud Practitioner, Cloud Computing

Earned the AWS Certified Cloud Practitioner certification.

Coursera logoCO

Coursera

Deep Learning Specialization, Deep Learning

Completed the Deep Learning Specialization.

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