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Varada Vaidya

@varadavaidya

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Machine learning engineer specializing in computer vision, NLP, and scalable AI-driven systems.

India

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What I'm looking for

I seek roles building production-ready ML/AI systems, working on computer vision or NLP, with collaborative teams, scalable infra, and impactful products.

I am a machine learning engineer with a strong foundation in probability, statistics, and practical experience building AI systems across computer vision, NLP, and scalable production deployments. I have implemented image-classification and segmentation models (ResNet50, MobileNet, U-Net, DeepLabV3+), object detection (YOLO), face recognition, transformer-based translation models, and several production-ready services integrating Docker, Kubernetes, nginx and MongoDB.

My work emphasizes efficiency and real-world impact — reducing computation costs for edge devices by 70%, achieving up to 98% classification accuracy, and automating anomaly detection for aircraft engine production. I enjoy designing end-to-end solutions (APIs, Flask, Node.js, Twilio bots), fine-tuning models with Hugging Face and LangChain, and contributing to robust, collaborative teams that deliver AI-driven products.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Independent Projects

Jan 2024 - Present (1 year 8 months)

Developed end-to-end ML and AI solutions including image classification (ResNet50, MobileNet), semantic segmentation (U-Net, DeepLab V3+), object detection (YOLO), transformer-based translation, and anomaly detection, achieving up to 98% accuracy on select tasks and reducing edge computation cost by ~70%. Built production-focused components such as Kubernetes-deployed MongoDB stateful services, ng

Python TensorFlow scikit learn Keras Transfer Learning YOLO Kubernetes MongoDB

M.Tech Thesis Researcher

Indian Institute of Technology, Kharagpur

Aug 2020 - Nov 2021 (1 year 3 months)

Researched and implemented artificial neural network models for risk allocation in PPP projects, creating indices for qualitative features and validating models on questionnaire-based managerial data to analyze and quantify risk factors.

Neural Networks Risk Modeling data preprocessing Statistical Analysis Python Validation

NLP Research Intern

Information Systems (Academic Project)

Aug 2019 - Mar 2020 (7 months)

Applied NLP techniques for sentiment analysis and aspect mining on ~30,000 scraped airline review segments, created preprocessing pipelines and templates to identify frequent complaints and actionable service issues.

Natural Language Processing Sentiment Analysis)Web Scraping Python Topic modeling

Mechanical Engineering Intern

KIADB Mysuru

May 2018 - Sep 2018 (4 months)

Designed and modeled an alternate braking system for line shafts in tarpaulin production, reducing eddy-current heating and improving material heat management by 30%.

CAD Prototyping

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Kharagpur

Master of Technology, Industrial and Systems Engineering

2019 - 2021

Grade: 8.95 CGPA

Completed M.Tech in Industrial and Systems Engineering with a focus on applied machine learning and systems modeling, graduating with 8.95 CGPA.

Vidya Vardhaka College of Engineering

Bachelor of Engineering, Mechanical Engineering

2014 - 2018

Grade: 77.12%

Completed Bachelor of Engineering in Mechanical Engineering with emphasis on applied engineering projects and a final-year project on braking systems, graduating with 77.12%.