Tanay Sonawane

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.

About

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.

  • Joined March 2025

Industry experience

  • Software & Internet
  • Telecommunications
  • Computers & Electronics
  • Education
  • Healthcare
  • Energy & Utilities

Projects · 2

•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.

•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

Work experience· 4 roles

Data Scientist · Athos Systems Pvt LtdJul 2025 – Present · 1 yr 5 mos

Working on XGBoost and Prophet

Research Assistant · Technical University of Braunschweig, GermanyMar 2025 – Aug 2025 · 6 mos

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.

Research Intern · School of Computing and Electrical Engineering (SCEE), IIT MandiJun 2024 – Aug 2025 · 1 yr 3 mos

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.

Software Intern · Intiot Services Private LimitedJun 2024 – Aug 2025 · 1 yr 3 mos

Education

BTech · Indian Institute of Technology (IIT) Mandi2021 – 2025
Semester Exchange · Technical University of Braunschweig (Germany)2024 – 2025

Certifications and awards

AWS Fundamentals Specialization2030 – 2025
Connect and Protect: Networks and Network Security2030 – 2025

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