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Sowmya MSM
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Sowmya M

@sowmyam

Machine Learning Engineer at Truviz, who built an LLM interview evaluation workflow.

India
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At Truviz Pvt. Ltd, I automated post-interview candidate evaluation with an LLM-powered workflow using OpenAI and Claude APIs. It generated structured assessments and feedback.

I improved interview conversation handling with tuned SmolLM2-135M and RoBERTa/BERT models, and reduced voice transcription latency to under 300 ms using Whisper STT, sliding-window inference, and Silero VAD.

At Inferigence Quotient Pvt. Ltd, I developed YOLOv8-based license plate detection for an ALPR system and contributed to 96% overall recognition accuracy. I also optimized edge inference, reducing latency from 11 seconds to 2 seconds.

At IIIT H, I developed camera synchronization pipelines for autonomous driving data and integrated LiDAR-camera sensor fusion. In my projects, I built a conversational RAG system and a multi-agent research paper assistant using LangGraph.

Experience

Work history, roles, and key accomplishments

IL

Computer Vision Engineer

Inferigence Quotient Pvt. Ltd

Jun 2024 - Nov 2024 (5 months)

Developed and optimized YOLOv8-based license plate detection models for an ALPR system trained on 48,000+ annotated images, contributing to 96% overall ALPR recognition accuracy. Designed and deployed ALPR inference pipelines using C++, SQLite, and Docker on Raspberry Pi and Jetson Nano for real-time edge-based license plate recognition.

CL

Image Processing Intern

Cube Highways and Transportation Assets Advisors (P) Ltd

Jun 2022 - Sep 2022 (3 months)

Improved highway object detection using YOLOv5, increasing accuracy by 11% and achieving 0.95 mAP.

Education

Degrees, certifications, and relevant coursework

Jawaharlal Nehru Technological University Hyderabad logoJH

Jawaharlal Nehru Technological University Hyderabad

Bachelor of Technology, Computer Science and Engineering

2016 - 2020

Bachelor of Technology in Computer Science and Engineering from Jawaharlal Nehru Technological University Hyderabad, completed in 2020.

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