Headline

Software Engineer | ML · Automation | Python Developer

About

I'm an Electronics & Communication Engineering graduate with hands-on industry experience in AI/ML, computer vision, and Python automation. At Universal Electronics Inc., I've built and deployed real-world systems — from custom YOLOv8 object detection models that validate 80+ UI components on thermostat devices, to OCR pipelines and automated defect analysis tools that cut manual testing effort significantly. I work across the full ML pipeline: data collection, annotation, model training, fine-tuning, and production integration. Some highlights from my work: — Trained a custom YOLOv8 model for thermostat device UI validation — Built Python automation frameworks for embedded device testing — Co-authored a Best Paper Award-winning research at IEEE ICETEG 2025 on an Automated Pothole Detection & Repair Robot — Developed a vehicle number plate recognition system using deep learning My tech stack: Python · PyTorch · TensorFlow · OpenCV · YOLOv8/10 · OCR · Java · Linux I'm actively looking for roles in AI/ML engineering, computer vision, automation, python developer or software engineering — where I can keep building systems that solve real problems. Let's connect if you're working on something in that space.

Location

Greater Bengaluru Area

AI stack

hugging face

langchain

ollama

openai

Work experience

Graduate Engineering Trainee at Universal Electronics, Aug 2025 - Present · 11 mos, Developing and maintaining Python-based automation frameworks for embedded device validation, improving test coverage and reducing manual effort Built an automated defect detection system that parses STP-generated reports to classify passed/failed test cases, significantly cutting debugging time Contributing to Sony RCU automation by designing validation scripts for remote control unit testing workflows Leading YOLOv8 model training and annotation pipeline for thermostat device UI validation across multiple device configurations

Intern at Universal Electronics, Jan 2025 - Jul 2025 · 7 mos, Designed and trained a custom YOLOv8 deep learning model using transfer learning to detect and classify 80+ UI components (icons, buttons, text fields) on thermostat device screens with high confidence accuracy Built an end-to-end Python pipeline covering IP camera image capture, dataset splitting, and annotation using LabelImg — reducing dataset prep time significantly Integrated OCR-based text extraction into the validation pipeline to verify on-screen numeric and textual data automatically Fine-tuned model hyperparameters to improve prediction stability across varying device screen states and lighting conditions Collaborated with cross-functional teams to ensure the automation workflow scaled across multiple device models

Frontend Developer at Prinston Smart Engineers, Oct 2023 - Nov 2023 · 2 mos, Bengaluru, Developed responsive web pages using HTML, CSS, JavaScript, and MongoDB as part of a full-stack web development training program Built and delivered a functional website project independently within a 6-week timeline Gained hands-on exposure to frontend design principles, DOM manipulation, and basic database integration

Education

Bachelor of Engineering - BE, Electronics and Communication Engineering, BNM Institute of Technology

PCMB, Chethana PU College