Ankur Chanda

I started my journey into the world of programming during my first year at IEM Kolkata. It didn't take long for me to develop a deep affection for deep learning and NLP. Those neural networks had me captivated from the get-go, like a kid in a candy store with all the possibilities they offered. Now, let's venture into the realm of the backend, the vital core of any robust system. I find myself captivated by the intricate machinery that orchestrates seamless operations. It's like embarking on an exhilarating puzzle-solving journey that I simply can't resist. Delving into the inner workings of databases, APIs, and server architecture provides me with a deep sense of fulfillment and accomplishment.
I am always ready to have new experiences, meet new people and learn new things. My research interests include Natural Language Processing, Deep Learning, Machine Learning, Computer Vision and Medical Imaging. So, if you're in need of someone who's passionate about deep learning, NLP, and has a knack for exploring the backend, look no further. I'm here to bring a blend of technical expertise and a dash of humor to help you conquer your tech challenges.
When I'm not immersed in the world of technology, you can find me playing football or listening to music.

Open to: ML Researcher/ research intern roles

Software Engineer

I am working as a part of Digital Engineering team in India. My work primarily focusses on developing and implementing innovative Agentic AI solutions for various clients.

Research Assistant

I pursued fundamental research in Vision and Multimodal AI under Prof. Nibaran Das. We researched on injecting noise and creating vision models for classification and generation of histopathology images.

Undergraduate Student Researcher

I worked on developing neural networks for stock market analysis, focusing on predicting stock entry and exit points for the OHLCV data to optimize trading strategies and building PyQt and Kivy applications for real-time data visualization.

Summer Research Intern

UbiNet: Ubiquitous Networked Systems Lab is a research group led by Dr. Sandip Chakraborty at Indian Institute of Technology, Kharagpur (IIT KGP). Broad research interests of this group include Sensing, Computer Human Interaction, Distributed Systems and Networking. I worked on my internship project which involved detection of change points on real-time streaming data from IoT Devices.

Data Analyst Intern

I worked on learning AI training data and helping clients building AI based solutions to collect, transcribe and annotate AI training datasets. The task involved transcribing and training 100 voice samples of commonly used medical terms.

1. Real-time Classification of EEG Signals Using Machine Learning Deployment Paper Github

   Swati Chowdhuri, Satadip Saha, Samadrita Karmakar, Ankur Chanda.

   Romanian Journal of Information Technology and Automatic Control, Vol. 34, No. 4, 7-18. [2024]

2. NeuroSonic: An Innovative Neuroacoustic Therapy to Enhance Mental Wellness with EEG Brain Signal Paper

   Trisha Paul, Susmita Das, Swati Chowdhuri, Ankur Chanda, Biswarup Neogi and Sheli Sinha Chaudhuri.

   IEEE Calcutta Conference (CALCON). [2024]

3. Evaluating Temperature Scaling Calibration Effectiveness for CNNs under Varying Noise Levels in Brain Tumour Detection arXiv

   Ankur Chanda, Kushan Choudhury, Shubhrodeep Roy, Shubhajit Biswas, Somenath Kuiry. 2025

   Under Review.

4. Improving Predictive Confidence in Medical Imaging via Online Label Smoothing arXiv

   Kushan Choudhury, Shubhrodeep Roy, Ankur Chanda, Shubhajit Biswas, Somenath Kuiry. 2025

   Under Review.

5. Developing Mental Well-Being with Restorative Frequencies

   Swati Chowdhuri, Trisha Paul, Satadip Saha, Ankur Chanda, Samadrita Karmakar, Sheli Sinha Chaudhuri. 2024

   Under Review

Institute of Engineering and Management, Kolkata

GPA: 9.01/10