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Tejashree Bhangale

@tejashreebhangale

Backend Engineer at TCS (NSE) who builds production systems and AI applications, including a navigation system with 96% accuracy.

India

Message

At TCS, where I work on the NSE client, I debug and resolve production issues in backend and data-processing workflows, contributing to system reliability and low-latency processing. I also investigate defects, implement fixes, and support production releases with engineering teams.

At IISER Mohali, I engineered an AI-powered navigation system for visually impaired users that combined depth estimation, object identification, and facial recognition, achieving 96% accuracy. I also developed a voice-enabled pipeline using fine-tuned LLMs, and built projects including a RAG-powered healthcare assistant and SakhiSahayak, an AI-powered women’s safety platform.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer

Current

TCS

Dec 2025 - Present (11 months)

Debugged and resolved production issues in backend/data-processing workflows, contributing to system reliability and low-latency processing. Collaborated with cross-functional engineering teams to investigate defects, implement fixes, and support production releases.

Backend Development Debugging Data Processing Production Support Cross Functional Collaboration

Project Intern

IISER Mohali

Jul 2024 - Apr 2025 (9 months)

Engineered an AI-powered navigation system for visually impaired users combining depth estimation, object identification, and facial recognition, achieving 96% accuracy. Developed a voice-enabled interaction pipeline using fine-tuned LLMs, improving navigation efficiency by 25%.

Computer Vision Deep Learning Depth Estimation Object Detection Facial Recognition LLM Voice Interaction Real Time Systems

Machine Learning Intern

Pirates Alert

Apr 2024 - Apr 2025 (1 year)

Optimized computer vision and deep learning models for counterfeit product detection, improving accuracy by 12%. Developed similarity-search pipelines for large-scale product verification and brand matching using vector representations and nearest-neighbour retrieval.