Hi, I'm Tanay Sonawane, a graduate of IIT Mandi with international academic and research experience, including a semester abroad and research work in Germany. I am passionate about data science, machine learning, and software development. I have hands-on experience in backend development, machine learning, cloud deployment, and academic research. My professional journey includes working as a Research Assistant in Germany, as a Software and Research Intern in India, and currently, I am working as a Data Scientist for a U.S.-based client.

Tanay Sonawane

Hi, I'm Tanay Sonawane, a graduate of IIT Mandi with international academic and research experience, including a semester abroad and research work in Germany. I am passionate about data science, machine learning, and software development. I have hands-on experience in backend development, machine learning, cloud deployment, and academic research. My professional journey includes working as a Research Assistant in Germany, as a Software and Research Intern in India, and currently, I am working as a Data Scientist for a U.S.-based client.

Available to hire

Hi, I’m Tanay Sonawane, a graduate of IIT Mandi with international academic and research experience, including a semester abroad and research work in Germany. I am passionate about data science, machine learning, and software development.

I have hands-on experience in backend development, machine learning, cloud deployment, and academic research. My professional journey includes working as a Research Assistant in Germany, as a Software and Research Intern in India, and currently, I am working as a Data Scientist for a U.S.-based client.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Language

English
Advanced
German
Beginner

Work Experience

Research Assistant at Technical University of Braunschweig, Germany
March 31, 2025 - August 1, 2025
Leveraged GNPy's Python API to develop a modular simulation system for Free Space Optical (FSO) satellite networks; applied Dijkstra and constraint-based algorithms to compute optimal routes under Gaussian noise constraints. Formulated the overall system design by structuring core components—modulation, transmission, noise modeling, and routing optimal communication paths.
Software Intern at Intiot Services Private Limited
June 30, 2024 - August 1, 2025
Deployed deep learning models on AWS, optimizing scalable cloud operations, and developed microservices with Flask, integrating MySQL for seamless data flow. Preprocessed real-time weather data via Open Weather Map API, integrating with LSTM models built in TensorFlow and PyTorch; predicted landslides 60 minutes in advance, enhancing disaster response and potentially saving lives.
Research Intern at School of Computing and Electrical Engineering (SCEE), IIT Mandi
June 30, 2024 - August 1, 2025
Initiated the development of a deep learning system for traffic violation detection using annotated surveillance video, employing Vision Transformers (ViT) for spatial event localization and BERT for generating contextual, human-readable explanations. Curated a dataset of 1250+ videos through detailed annotation in CVAT, enabling multimodal model training and fine-tuning; implemented temporal flow logic to support transformer attention over sequential frames.
Data Scientist at Athos Systems Pvt Ltd
July 1, 2025 - Present
Working on XGBoost and Prophet

Education

BTech at Indian Institute of Technology (IIT) Mandi
July 1, 2021 - May 31, 2025
Semester Exchange at Technical University of Braunschweig (Germany)
September 1, 2024 - March 31, 2025

Qualifications

AWS Fundamentals Specialization
January 11, 2030 - July 12, 2025
Connect and Protect: Networks and Network Security
January 11, 2030 - July 12, 2025

Industry Experience

Software & Internet, Telecommunications, Computers & Electronics, Education, Healthcare, Energy & Utilities
    paper Resume Analyzer and Matcher

    •Trained a custom NER model based on NLP to extract information from resumes, such as names, organisations, skills, etc.
    •Performed matching of the parsed resumes with given Job profiles using Cosine Similarity.

    paper Smart Attendence System using Facial Recognition

    •Architected and integrated a face recognition model into a Flask-based backend server, enabling automated attendance tracking for 300+
    students and efficient data storage using Raspberry Pi.
    •Designed and launched a user-friendly web portal for seamless management of attendance records and user data, enhancing
    administrative efficiency