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Shatakshi Pandit

@shatakshipandit

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AI/ML engineer building end-to-end healthcare and computer-vision pipelines with Python.

India

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What I'm looking for

I’m looking for an AI/ML role where I can own end-to-end ML/DL pipelines for healthcare and vision, combining strong data work (EDA, evaluation) with engineering best practices and MLOps-style tooling, while collaborating closely with domain experts.

I’m an AI/ML Engineer and final-year Electronics & Telecommunication engineer (SGPA 8.15), focused on building end-to-end machine learning and deep learning pipelines for healthcare and computer vision. I’ve applied iterative feature engineering and hyperparameter tuning to improve supervised classification performance, and I enjoy translating real-world requirements into clear ML problem definitions and evaluation criteria.

Through internships, I’ve gained both data-driven and hardware-aware perspectives—automating healthcare data preprocessing, building reproducible research workflows on safety-critical autonomous driving use cases, and developing embedded firmware with UART/I2C/SPI communication. I’m particularly motivated by work that blends strong model evaluation (metrics, EDA, and documentation) with practical deployment thinking, so solutions perform reliably in real environments.

Experience

Work history, roles, and key accomplishments

AI/ML Engineer Intern

Inorbvict Healthcare Pvt. Ltd.

Feb 2026 - Mar 2026 (1 month)

Built and benchmarked supervised healthcare classification models, improving F1-score through iterative feature engineering and hyperparameter tuning. Conducted EDA and automated end-to-end preprocessing pipelines to reduce manual processing time.

Python scikit learn TensorFlow Hyperparameter Tuning Model Evaluation Pandas Matplotlib EDA data preprocessing

Embedded Systems Intern

Neuailabs

Dec 2025 - Feb 2026 (2 months)

Developed firmware in C for embedded hardware modules, integrating UART, I2C, and SPI peripherals. Applied hardware-software co-design to validate sensor communication and resolve real-time timing conflicts.

C#UART I2C SPI Embedded Software Sensor Communication Hardware Software Co Design

Machine Learning Intern

TIHAN – IIT Hyderabad

Mar 2025 - Jun 2025 (3 months)

Contributed to government-funded autonomous vehicle safety research by implementing and evaluating ML models for safety-critical driving use cases. Synthesized insights from 10+ research papers and maintained reproducible experiment logs and structured documentation.

Machine Learning Classification regression Python Model Evaluation Experiment Logging Documentation Hyperparameter Tuning

Technology Intern

Jio

Apr 2024 - Jun 2024 (2 months)

Optimized chatbot workflows and NLP-based intent matching pipelines to resolve client support queries and reduce average resolution time. Improved end-to-end handling of user intents for faster issue routing.

NLP Tokenization Python Model Evaluation Data Processing Workflows EDA

Industrial Automation Intern

Cotmac Electronics Pvt. Ltd.

Jan 2023 - Feb 2023 (1 month)

Gained hands-on exposure to PLC programming, VFD configuration, and SCADA system monitoring in an industrial automation environment. Assisted with practical monitoring workflows to support automation operations.

PLC Programming VFD Configuration SCADA Monitoring Industrial Automation Automation Control Systems Troubleshooting Process Monitoring

Education

Degrees, certifications, and relevant coursework

GCOER Pune

Bachelor of Engineering, Electronics & Telecommunication

2020 - 2025

Grade: SGPA 8.15 / 10

Activities and societies: ETSA Committee Secretary (Final Year) for Electronics & Telecom department; organised technical events and led student activities.

B.E. in Electronics & Telecommunication at GCOER Pune (Savitribai Phule Pune University), with a final-year SGPA of 8.15/10.