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siddhu nayakSN
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siddhu nayak

@siddhunayak

Software Development Intern at Synccare Technologies who developed an AI clinical analysis pipeline for 500+ patient records.

India
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At Synccare Technologies, I developed an AI-powered clinical analysis pipeline that used LLMs to generate structured patient summaries and action plans from clinical data, processing 500+ patient records.

I also implemented an outbound calling feature in the Carely healthcare platform, integrating the CallerDesk telephony API across 3+ service modules. I fixed a critical service request workflow bug that reduced failed requests by 30%.

At Kuppismart Solutions Pvt Ltd, I developed a poultry health monitoring system using computer vision and deep learning. I built a chicken detection and counting pipeline with Faster R-CNN and SAM2 that achieved 90%+ detection accuracy.

Experience

Work history, roles, and key accomplishments

ST

Software Development Intern

Synccare Technologies

Dec 2025 - May 2026 (5 months)

Developed an AI-powered clinical analysis pipeline using LLMs to generate structured patient summaries and action plans, processing 500+ patient records. Implemented a full-stack outbound calling feature and improved platform reliability by fixing a critical service request workflow bug.

MS

AI Engineer Intern

MVDSS Services

Sep 2025 - Nov 2025 (2 months)

Evaluated 200+ multi-step JSON traces generated by LLM agents, identifying the first critical error per execution to improve agent-evaluation accuracy. Verified alignment between agent plans, bug-fix strategies, and implemented code across 50+ reasoning chains.

KL

Machine Learning Intern

Kuppismart Solutions Pvt Ltd

Feb 2025 - Jul 2025 (5 months)

Developed a real-time poultry health monitoring system using computer vision and deep learning. Preprocessed and annotated 6,000+ poultry images in COCO format and built a computer vision pipeline for chicken detection and counting using Faster R-CNN and SAM2, achieving 90%+ detection accuracy.

Education

Degrees, certifications, and relevant coursework

ID

IIIT Vadodara International Campus Diu

B.Tech, Computer Science and Engineering

2022 -

Pursuing a B.Tech in Computer Science and Engineering, expected to graduate in 2026.

JV

Jawahar Navodaya Vidyalaya

Class VI–XII (CBSE), General Studies

2016 - 2022

Completed Class VI–XII under the CBSE curriculum.

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