Open to opportunities

SAI SAMYUKTHA N

@saisamyukthan

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AI & data engineer specializing in ML, MLOps, and scalable data pipelines.

India

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What I'm looking for

I seek roles building production ML systems and scalable data platforms, with strong emphasis on deployment, MLOps, cross-functional collaboration, and measurable business impact.

I am an AI and data engineer with a strong foundation in machine learning, deep learning, and data engineering, graduating with a B.Tech in CSE (AI & Robotics) and a 9.38 CGPA.

I have production experience automating end-to-end data pipelines with Databricks, Snowflake, Python and SQL, cutting manual ETL effort by 95–98% and eliminating recurring incidents through root-cause fixes.

My applied ML work includes CNN, UNet and YOLOv5 models for computer vision, medical-image classification for leukemia detection, and LLM/RAG integrations for product recommendation — all delivered with deployment-minded tools like FastAPI and Docker.

I lead cross-functional teams in hackathons and competitions, build interactive dashboards and MLOps solutions, and focus on delivering measurable business impact through automation, model deployment, and data-driven decision support.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Chubb Business Services India

Jun 2024 - Present (1 year 6 months)

Automated end-to-end data pipelines using Python, SQL, Databricks, and Snowflake, improving process efficiency by 95–98% and eliminating recurring incidents through root-cause fixes.

Python SQL Databricks Snowflake Incident RCA CI CD Data Pipelines

Data Intern - Analytics & Engineering

Chubb Business Services India

Sep 2023 - Jun 2024 (9 months)

Built PowerBI dashboards for real-time API health monitoring, reducing incident detection time by ~40% and automated reporting with Python to cut process time by over 70%.

Power BI Python Automation Reporting SQL Data Visualization

Deep Learning Research Intern

CCPS - Vellore Institute of Technology

May 2023 - Jun 2024 (1 year 1 month)

Developed deep learning image classifiers for acute lymphoblastic leukemia diagnosis, applying CV techniques to achieve ~15% validation accuracy gains over baselines.

Computer Vision Model Evaluation Medical Imaging PyTorch Research

Deep Learning Intern

MultiD

Sep 2023 - Nov 2023 (2 months)

Developed CNN, UNet, and YOLOv5 models for structural crack detection, improving detection accuracy by ~25% and integrated YOLOv5 pipeline with drone cameras for real-time monitoring.

CNN UNet PyTorch fastAPI Computer Vision U Net

Machine Learning Research Intern

SCOPE - Vellore Institute of Technology

Jun 2022 - Sep 2022 (3 months)

Conducted an 8-week research review on animal detection methods for automated vehicles, synthesizing approaches and publishing a book chapter on AI and blockchain integration.

literature review Object Detection Technical Writing Machine Learning

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology, Chennai

Bachelor of Technology, Computer Science and Engineering (AI & Robotics)

2020 - 2024

Grade: CGPA 9.38

Activities and societies: 3× Meritorious Award winner; research and internship projects in deep learning, medical imaging, autonomous vehicles, and industry internships at CHUBB and MultiD.

Bachelor of Technology in Computer Science and Engineering with specialization in AI and Robotics, graduated with CGPA 9.38 and University Rank 2; completed coursework in machine learning, deep learning, NLP, data analytics, and robotics.