
SUJOY NATH
ML Engineer
Kolkata, West Bengal, India
Education
Bachelor of Technology in Computer Science and Business System
Netaji Subhash Engineering College, Kolkata, India
August 2021 - June 2025 (Pursuing)
CGPA: 8.56/10 (3.42/4)
Research Publications
1. From Complexity to Clarity: Transforming Chest X-ray Reports with Chained Prompting
Authors: Sujoy Nath, Arkaprabha Basu, Kushal Bose, Swagatam Das
Conference: AAAI 2025 Student Abstract (Ranking: A*) Accepted https://doi.org/10.1609/aaai.v39i28.35281
2. HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
Authors: Sharanya Dasgupta, Sujoy Nath, Arkaprabha Basu, Pourya Shamsolmoali, Swagatam Das
Conference: IJCNN 2025 (Ranking: B) Accepted https://arxiv.org/abs/2504.09482
Experience
Research Experience
Project Intern
Indian Statistical Institute (ISI), Electronics and Communication Sciences Unit (ECSU)
June 2024 - Present | Kolkata, India (Onsite)
Supervisor: Dr. Swagatam Das
- Worked on simplified Medical Report Generation (MRG) using prompt engineering (Chained Prompting, In-Context Learning), fine-tuned LLaMa models, and integrated Gemini-1.5-Flash API.
- Proposed CPMK-E (Chained Prompting for Medical Report Keyword Extraction) for LLM fairness in medical settings (Accepted at AAAI 2025 Student Abstract).
- Developed a detailed image captioning system using BLIP, CerberusDet (fine-tuned YOLOv8), fine-tuned LLaMa 3.1/2, Mistral 7B, Phi-2, and Gemini-1.5-Flash API. Evaluated with BLEU, ROUGE, BERTScore, Repetition Rate.
Research Internship
Defence Research and Development Organisation (DRDO), DEBEL Lab
March 2024 - April 2024 | Bengaluru, India (Onsite)
- Developed a comprehensive dataset using IMU sensor data (Xsens) capturing walking patterns of 20 subjects.
- Applied computer vision and machine learning for motion analysis.
- Researched human gait pattern analysis using ensemble learning for real-time prediction systems for lower limb prosthetics.
Industry Experience
Machine Learning Engineer Intern
Geogo Techsolutions
October 2023 - Present | Kolkata, India (Hybrid)
- Built an end-to-end face comparison and similarity search solution (98% accuracy vs. Amazon Rekognition) using state-of-the-art CV models for employee authorization and verification.
- Developed a custom vector database with Bruteforce and PCA indexing for efficient large-scale image embedding searches.
- Engineered an Automatic Speech Recognition (ASR) model (Transformer architecture) for Hindi-English mixed data, achieving 34% WER with innovative audio preprocessing (STFT, Conv1D). Deployed for insurance call transcription.
Skills and Interests
Interests
- Applications of LLM
- Trustworthy AI
- Computer Vision
- Multimodality
- Deep Learning
Frameworks
- Pytorch
- Tensorflow
- Unsloth
- Numba
- OpenCV
- FastAPI
Concepts
- LLM for MRG
- Hallucination in LLM
- Prompt Engineering
- Computer Vision Models
Achievements
Parayas 2k24: National Level Project Competition
2nd position, Software segment (Team Lead)
May 2024 | Kolkata, India
Kavach 2023: National Cybersecurity Hackathon
Top 5 finalist teams (Team Lead)
Ministry Of Education, Govt of India | Aug 2023 | Greater Noida, India
Get In Touch
Feel free to reach out via email or connect with me on social media.
Kolkata, West Bengal, India