Embedded Files
Papers @ ICLR'25 (Workshop); ICAIF'24; IEEE Transaction; CMSAC'24; IEEE OJCS; Two review articles
2 Published Indian Design Patents
3x Winner at National Hackathons hosted by IIT Kharagpur, Roorkee
Current ML-Consultant with SkinAI, Research Project Assistant @ IIT-Kharagpur
Ex-Research Intern @ BITS, Pilani, TCS-Research, UT-Austin
<50+ Citations on Google Scholar!>
Education
Education
2022-2026
Kalinga Institute of Industrial Technology
Kalinga Institute of Industrial Technology
B.Tech, Computer Science and Engineering
Topped the batch five times in 5 semesters.
Current rank: 02/4823
Receiving Rs. 10,000/month as scholarship (Certificates: Sem01, Sem02, Sem03, Sem04, Sem05)
Coursework:
DBMS, OOP-Java, OS, Automata and Formal Languages, Computer Arch, High Performance Computing,
Design and Analysis of Algorithms.
CGPA: 9.89/10.00
2022-2026
Indian Institute of Technology Madras
Indian Institute of Technology Madras
Bachelor of Science, Data Science and Programming
Concurrently pursing IIT-M BSc. (Online) along with my B.Tech
6th Term (Diploma Stage)
Coursework:
System Commands, Modern Application Development-I & II, DBMS, Data Structures with Python,
ML Foundations, ML Techniques, OOP with Java, Business Data Management
CGPA: 9.25 / 10.00
Research Experience
Research Experience
Technical-Works
Technical-Works
[1] FAR-FD:
[1] FAR-FD:
Accepted at ICLR 2025 (Advances in Financial AI Workshop)
We built on-top of this ICAIF'24 paper which used a Retrieval Augmented Classification System to predict Credit Card Fraud. We incorporated a novel feature augmentation on top of the FAISS Search.
Paper: Here (unfortunately ,the workshop is non-archival.)
Code: https://github.com/annimukherjee/FAR-FD
2024-2025
[1] KabaddiPy
[1] KabaddiPy
Accepted (for an 10min Oral presentation) at Carnegie Mellon Sports Analytics Conference (CMSAC 2024)
Hope to see you in Pittsburgh @ the Oaklander Hotel 1st-2nd Nov 2024!
Culmination of the work we did for CMSAC 2024 in the Student Data / Software track.
We won the Student Track and stood first!
Presentation: https://www.youtube.com/watch?v=gQNRX9th9WA&list=PLGamdDdd5qYjvsc3umk-LwcUX8wezqYTV&index=18
Developed an Open-Source Python Package for Kabaddi Analytics
Homepage: https://kabaddipy.github.io/kabaddiPy/
GitHub Repository: https://github.com/kabaddiPy/kabaddiPy
Python Package: https://pypi.org/project/kabaddiPy/
2023-2024
[1] QuARCS
[1] QuARCS
Accepted at IEEE Transactions of Consumer Electronics
https://ieeexplore.ieee.org/document/10630662
This is the culmination of the work I did @ BITS, Pilani in the Summer of 2023.
Worked hard for this technical paper!
Proposed a novel framework for anomaly detection based on the work done by Sultani et al.
Code: <will upload soon>
2023-2024
[1] Numin
[1] Numin
Accepted (for a poster) at "International Conference on AI in Finance" (ICAIF 2024) in NYC!
We developed a metamodel to dynamically predict trading decisions in an intra-day scenario using a modified version of the Weighted Majority Average algorithm. This resulted in significantly better performance based on our experimental back testing of the proposed model using real-market data.
Link: https://dl.acm.org/doi/10.1145/3677052.3698656
This is the culmination of the work I did @ TCS Research in the Summer of 2024.
2023-2024
[2] A Fine Grained Analysis: BLEURT and BERTScore
[2] A Fine Grained Analysis: BLEURT and BERTScore
Accepted at IEEE Open Journal of the Computer Society
Link: https://ieeexplore.ieee.org/abstract/document/10964149
A detailed numerical analysis on two leading Machine Translation metrics. Inspired from a paper published @ EMNLP 2021 (https://aclanthology.org/2021.wmt-1.59/)
2023-2024
Review / Survey Papers
Review / Survey Papers
[3] An in-depth comprehensive review on CADD, QC technology and Drug Discovery
[3] An in-depth comprehensive review on CADD, QC technology and Drug Discovery
Accepted at IEEE Access
https://ieeexplore.ieee.org/document/10466774
2023-2024
[4] Summarising the GAN literature for Medical Imaging
[4] Summarising the GAN literature for Medical Imaging
Accepted at Springer Cognitive Computing (IF: 5.6)
An in-depth review on Generative Adversarial Networks for Imaging introduced by Goodfellow et al.
https://link.springer.com/article/10.1007/s12559-024-10291-3
2023-2024
Experiences
Experiences
Pre-Doc @ Indian Institute of Science Bangalore
Pre-Doc @ Indian Institute of Science Bangalore
Working at CSA under the guidance of Prof Yogesh Simmhan and Dr. Gugan Thoppe.
2025-2026
Bangalore
(on-site)
Volunteer Section Leader (Instructor)
Code In Place 2024, 2025.
Volunteer Section Leader (Instructor)
Code In Place 2024, 2025.
Lead a team of 10 people through a 6-week long course offered by Stanford to anyone from around the world!
Conducted 1.5hr Zoom meetings every week to help 10 people from around to globe to get-through the course and solve interesting problems assigned by the CIP TA's
https://annimukherjee.notion.site/cip-2024
https://digitalcredential.stanford.edu/check/E065CD07BF90C92AB9753FA6ED0AF0C22CD43847A8C9A86B251368EC7861B386SkpFYlZpRmNRVy9rbG9PcjUxUjV5WmF3N0hlR21iRUJpMXhveDdUZXFVSFJOcGlP
2023-2024
Los Altos, USA
(Remote)
Research Intern @ University of Texas at Austin
Research Intern @ University of Texas at Austin
Advised by Prof. Alvin Bovik.
Worked at the Laboratory for Image & Video Engineering (LIVE) with Asvin Venkataraman
Working on Deepfake Detection in the Video Domain & Stable Diffusion analysis
2023-2024
Austin, USA
(Remote)
Research Intern @ TCS Research
Research Intern @ TCS Research
Advised by Dr. Gautam Shroff (Sr. Vice President and Head - TCS Research)
Worked on ML for Finance by ensembling multiple experts in the best way possible to adapt to the market.
2023-2024
New Delhi, India
Worked on a novel quantum-classical surveillance video anomaly detection framework.
Advised by Prof. Vinay Chamola
Developed a newly labelled dataset to prioritise crime.
Improved the performance of the anomaly detector by 8% using the same architecture.
2023-2024
Pilani, India
Reviewer for IEEE Transactions on Intelligent Transportation Systems
Reviewer for IEEE Transactions on Intelligent Transportation Systems
Impact factor: 8.5
Served as a reviewer for a paper that was submitted to the prestigious journal.
2023-2024
New York, USA
Implemented multiple projects for the startup.
(nda)
2023-Present
Delhi, India
Published Patents:
Published Patents:
1] DinEarn
2] SmartAttendanceAI
1] DinEarn
2] SmartAttendanceAI
Ministry of Commerce & Industry, Government of India
# 202331057079
# 202331014267
Helped to develop the models required by the proposal.
2023
Bhubaneswar, India
The Harvard College Project for Asian & International Relations
The Harvard College Project for Asian & International Relations
Accepted as a delegate at the HPAIR conference following a rigours shortlisting process.
Didn't attend the conference in Hong Kong (It wasn't funded)
Aug 2022
Cambridge, USA
Student Exchange Programme: Germany (PASCH-8)
Student Exchange Programme: Germany (PASCH-8)
Student Exchange Programme to Sophie-Scholl-Gesamtschule in Wennigsen, Germany for 2 weeks
Attended classes, workshops and took part in a number of cultural projects.
Also hosted my exchange-partner in Kolkata, India
Aug 2020
Cambridge, USA
Awards
Awards
1st @ AI Enabled Road Safety Hackathon,
IIT-Roorkee
1st @ AI Enabled Road Safety Hackathon,
IIT-Roorkee
Worked in a team of 5.
Tasked with building AI Computer Vision models to improve safety on Indian roads.
Built 6 models for various use cases, and demonstrated a simulation as to how they would work if deployed on a large scale
Code + Slides available in the Projects page
Oct 2023
Roorkee, India
1st @ Fin-A-Lytics Hackathon, IIT-Kharagpur
1st @ Fin-A-Lytics Hackathon, IIT-Kharagpur
Operations Research and Prediction of the Demand and Pricing of Airline Tickets.
Given a noisy real-world dataset.
Predicted flight booking trends and revenue patterns to guide airlines on route selection.
(Won Rs. 18,000 in Prize Money)
Slides available here
Oct 2023
Kharagpur, India
3rd @ Convo-Bot Hackathon, IIT-Kharagpur
3rd @ Convo-Bot Hackathon, IIT-Kharagpur
Part of a team of 4 that developed Chatbot solutions to tackle industry use cases.
Used Google Gemini, Streamlit
Jan 2024
Kharagpur, India
Runner’s up, RoadRunner Konquest
Runner’s up, RoadRunner Konquest
Built our own Bluetooth-controlled robotic vehicle using Arduino
Feb 2023
Kharagpur, India
Second Runner-Up in the UA Studentpreneur Challenge
Second Runner-Up in the UA Studentpreneur Challenge
Judged to be the Second-Runner-Up in the entire country by UA’s Eller College of Management
Led a team of three to pitch an entrepreneurial business idea based on Film and Technology
Demonstrated entrepreneurial skills.
Feb 2020
Kharagpur, India
IIT Kharagpur, Young Innovators Programme
IIT Kharagpur, Young Innovators Programme
Reached the penultimate round out of all the teams in the country.
Built a robotic solution for cloth hangers
2019
Kharagpur, India
Certifications
Certifications
Machine Learning Specialization, Stanford University, DeepLearning.AI
Supervised Machine Learning: Regression and Classification, Stanford University, DeepLearning.AI
Advanced Learning Algorithms, Stanford University, DeepLearning.AI
Unsupervised Learning, Recommenders, Reinforcement Learning, Stanford University, DeepLearning.AI
Deep Learning Specialization, DeepLearning.AI
Neural Networks and Deep Learning, DeepLearning.AI
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Structuring Machine Learning Projects, DeepLearning.AI
Convolutional Neural Networks, DeepLearning.AI
Sequence Models, DeepLearning.AI
Technical Skills & Interests
Technical Skills & Interests
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