| University of Southern California Master of Science - Computer Science (Artificial Intelligence) | August 2024 - July 2026 |
| NMIMS University Bachelor of Technology - Computer Science (Artificial Intelligence) | August 2020 - May 2024 |
| USC Institute of Creative Technologies Machine Learning Student Worker - Learning Sciences Lab (Part-time) | September 2024 - Present Los Angeles, CA, USA |
| Course Generation using Generative AI: Leverage Generative AI with LangChain and OpenAI to help make novel techniques for course generation, tutoring content generation, and OpenTutor courses to learn and teach AI for the AIRCOEE program in collaboration with the US Department of Defense, under Prof. (Dr.) Benjamin Nye. | |
| Cogeneration Testbed: Maintain technologies for co-generation of tutoring content using open and cloud-based LLMs to help educators. | |
| USC School of Cinematic Arts Machine Learning Assistant - Interactive Games Division (Part-time) | September 2024 - Present Los Angeles, CA, USA |
| Student Worker: Assist Prof. (Dr.) Mark Bolas to develop an introductory Python Programming course for Game Developers. | |
| ML Research: Find new approaches to apply Generative AI based on LLMs and Diffusion Models to solve problems at large-scale in Creative Media, with solutions such as generating scripts and summaries based on videos. | |
| HARMAN International Machine Learning Intern (Full-time) | December 2023 - May 2024 Bengaluru, India |
| K-Shot Rotation-Invariant Object Detection Pipeline Development: Produced new Intellectual Property towards achieving a robust pipeline to perform K-shot object detection without dependence on rotation alignment. Improved pipeline with 35% better results on client data | |
| Zero-shot Time-Series Forecasting with LLMs: Researched on how to achieve zero-shot time-series forecasting through LLMs while building on previous developments. | |
| Spot Instance Handler using Agentic LLMs: Built an agent-based LLM system on Gemini 1.5 Pro and LangChain to help reduce costs by 10% incurred, by running non-critical workloads on spot-instances | |
| Center for Visual Information Technology, IIIT-Hyderabad Research Intern (Full-time) | June 2023 - November 2023 Hyderabad, India |
| Research: Contributed towards research along Domain Adaptation problems in Autonomous Driving under Prof. C.V. Jawahar and Prof. Shankar Gangisetty | |
| Code Implementations: Operated with internal tools to execute large-scale GPU training and experimentation on Image Segmentation problems | |
| UnifyAI (Ivy) ML Research Engineer Intern (Full-time) | January 2023 - July 2023 London, United Kingdom |
| Demos and Examples: Developed new demos, examples, and guides to internal and external official documentation, most notably around converting torchvision models into TFLite. Also helped in establishing programs and managing the Google Summer of Code program as an Organization Admin | |
| Internal AI Developer: Prototyped an AI Developer (Code-LLM) to automate and builds upon existing codebases and speeds up internal development, along with handling self-training through Cloud resources such as GCP and AWS | |
Gangisetty, S. et al. (2025). ICPR 2024 Competition on Rider Intention Prediction. In: Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, CL., Bhattacharya, S., Pal, U. (eds) Pattern Recognition. Competitions. ICPR 2024. Lecture Notes in Computer Science, vol 15334. Springer, Cham.
Mukherjee, S. “Sharpen Your Vision: Super-Resolution of CCTV Images Using Hugging Face Diffusers,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/eoubf
Mukherjee, S. “Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2024, https://pyimg.co/w4kr8
S. S. Mukherjee, A. Chandra, K. Chemburkar and V. Kulkarni, "Project Lingua Franca: Democratizing Information through Unified Optical Character Recognition and Neural Machine Translation," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 486-491
S. S. Mukherjee, D. Vinod Chandan and S. Dongre, "Guiding the Student’s Learning Curve: Augmenting Knowledge Distillation with Insights from GradCAM," 2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom), Dubai, United Arab Emirates, 2023, pp. 587-591
Mukherjee, S. “Setting Up a GPU Development Environment Using Docker,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/8bf3a
Mukherjee, S. “Getting Used to Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/hf5bk
Mukherjee, S. “Getting Started with Docker for Machine Learning,” PyImageSearch, P. Chugh, A. R. Gosthipaty, S. Huot, K. Kidriavsteva, and R. Raha, eds., 2023, https://pyimg.co/k3xw6
Talk at GDG Philadelphia, Philadelphia, PA, USA
Talk at USC School of Cinematic Arts, Los Angeles, CA, USA
Talk at GDG New Delhi, New Delhi, India
Talk at PyTorch Conference 2024, San Francisco, California
Talk at GDG MAD Mumbai, Mumbai, India
Talk at GDG Golang Korea, Seoul, South Korea
Talk at TFUG Mumbai, Mumbai, India
Talk at TFUG Kolkata, Kolkata, India
Talk at GDG Cloud Community Days Mumbai, Mumbai, India
Talk at GDG Cloud Mumbai, Mumbai, India