Experience

The Barabari Project

• India
• Education
• 1 - 100 Employee

• Data Structures and Algorithms & Competitive Programming Mentor (NGO)

  • May 2023 - Present

  ➢ Mentoring and teaching students to master DSA, Competitive Programming, and other domains of Computer Science and Engineering. ➢ Mentoring and teaching students to master DSA, Competitive Programming, and other domains of Computer Science and Engineering.



The University of British Columbia

• Canada
• Higher Education
• 700 & Above Employee

• Bayesian Neural Networks for Astrophysical Inference: MCMC Approach [Research Thesis]

  • Apr 2023 - Present

  ➢ Research Thesis under Dr. Sarmistha Banik (BITS Pilani), Dr. Joanna Kaczmarek (British Columbia University) & Dr. Tuhin Malik (University of Coimbra). ➢ Publication Title (yet to be published): Bayesian Neural Networks for Astrophysical Inference: A Markov Chain Monte Carlo Sampling Approach ➢ Working on development of a new statistical tool useful in Astrophysics for studying data from space telescopes. ➢ Central Idea: Modeling of complex posterior distributions and perform inferences from high dimensional data (up to 500 dimensions) Show less



Adept AI

• Software Development

• Generative Artificial Intelligence Engineer Intern

  • Jun 2023 - Aug 2023

  ➢ Collaborated in creating structured training data and conducted extensive preprocessing to prepare it for integration with a LLM, enhancing the capabilities of a General AI Assistant. ➢ Successfully implemented and deployed a problem classification system using XGBoost for supervised learning and FastText for unsupervised learning, enabling efficient categorization of complex data. ➢ Played a key role in the deployment and management of Falcon-40b, a state-of-the-art Large Language Model developed by the Technical Innovation Institute, which boasts an impressive 40 billion parameters. ➢ Leveraged RoBERTa (Robustly Optimized Bidirectional Encoder Representations for Transformers Pre-training Approach) to fine-tune hyperparameters, significantly improving its performance in the General Language Understanding Evaluation (GLUE) benchmark. Show less



HaZZten

• India
• E-Learning Providers
• 1 - 100 Employee

• Subject Matter Expert

  • May 2023 - Jun 2023

  ➢ Solved problems of Computer Science & Engineering; asked by students, teachers and working professionals. ➢ Solved problems of Computer Science & Engineering; asked by students, teachers and working professionals.



CSIR-National Geophysical Research Institute

• India
• Research Services
• 100 - 200 Employee

• Machine Learning Research Intern

  • Apr 2023 - Jun 2023

  ➢ Seismic Wave Modelling and Natural Disaster Prediction - Research Project under Govt. of India ➢ Tech Stack: Computer Vision, Deep Neural Networks (DNNs), MATLAB ➢ Seismic Wave Modelling and Natural Disaster Prediction - Research Project under Govt. of India ➢ Tech Stack: Computer Vision, Deep Neural Networks (DNNs), MATLAB



WalkingTree Technologies

• India
• Software Development
• 200 - 300 Employee

• Vision Transformers Research Assistant Intern

  • Aug 2022 - Jan 2023

  Note: Exact technologies worked-on or developed can't be disclosed for these. ➢ Project-1: Developed a medical image segmentation model to assist in disease diagnosis, such as brain tumor segmentation in MRI images or lung nodule detection in CT scans. ➢ Project-2: Created a deep learning model that can restore damaged or deteriorated artworks and historical documents. Note: Exact technologies worked-on or developed can't be disclosed for these. ➢ Project-1: Developed a medical image segmentation model to assist in disease diagnosis, such as brain tumor segmentation in MRI images or lung nodule detection in CT scans. ➢ Project-2: Created a deep learning model that can restore damaged or deteriorated artworks and historical documents.



Viga Entertainment Technology

• India
• Entertainment Providers
• 1 - 100 Employee

• Machine Learning Game Programmer Intern

  • Jun 2022 - Aug 2022

  ➢ Used Unreal Engine 5 for creating meta-human bodies, used for character creation in video games. ➢ Developed a ML model for automation of head selection depending on body parameters. ➢ Tech Stack: OpenCV, Caffe (Deep Learning Framework), Layering and Pooling ➢ Used Unreal Engine 5 for creating meta-human bodies, used for character creation in video games. ➢ Developed a ML model for automation of head selection depending on body parameters. ➢ Tech Stack: OpenCV, Caffe (Deep Learning Framework), Layering and Pooling



Million Sparks Foundation

• India
• E-Learning Providers
• 1 - 100 Employee

• Data Science Intern

  • May 2021 - Jul 2021

  ➢ Developed an interactive dashboard that takes queries and gives responses from database. ➢ Handled front-end & back-end solely by Python libraries. ➢ Made functions for removing Curse of Dimensionality from the json dataset. ➢ Tech Stack: Pandas, NumPy, Matplotlib, Plotly, Streamlit, Pickle, Json, CSV ➢ Developed an interactive dashboard that takes queries and gives responses from database. ➢ Handled front-end & back-end solely by Python libraries. ➢ Made functions for removing Curse of Dimensionality from the json dataset. ➢ Tech Stack: Pandas, NumPy, Matplotlib, Plotly, Streamlit, Pickle, Json, CSV



EISystems Technologies

• India
• Education Management
• 1 - 100 Employee

• Machine Learning Algorithm Developer Intern

  • Jul 2020 - Aug 2020

  ➢ Developed a ML model through Support Vector Machine using concepts of Linear & Non-Linear Regression. ➢ Used the model for prediction of loan request acceptance by a bank. ➢ Trained the model with dataset of 9 parameters like property size, assets owned, previous loan durations etc. ➢ Tech Stack: SVM, Regressions, Seaborn ➢ Developed a ML model through Support Vector Machine using concepts of Linear & Non-Linear Regression. ➢ Used the model for prediction of loan request acceptance by a bank. ➢ Trained the model with dataset of 9 parameters like property size, assets owned, previous loan durations etc. ➢ Tech Stack: SVM, Regressions, Seaborn