Pushkar's
PORTFOLIO

I'm a rising senior passionate about integrating different scientific disciplines to discover something extraordinary.

See My Work

See My Work

See My Work

Curriculum Vitae

Curriculum Vitae

Curriculum Vitae

applied statistics

[ About me

I earned my bachelor's in technology at IIT Guwahati. I’ve conducted extensive research and taken rigorous courses spanning data science and AI/ML to gain a different perspective on my interests. I believe in creating an impact through my work and supporting and bettering daily lives. I'm also a skilled vocalist, guitarist, gamer, and artist.

See My Work

See My Work

See My Work

See My Work

See My Work

See My Work

Submitted to ACM Computing Surveys

Pushkar Ambastha, From AlphaFold 2 to AlphaFold 3: A Review on Advancements in Protein Structure Prediction (Submitted to ACM Computing Surveys (Impact Factor: 23.8). Currently under review)

Investigated recent advances in protein structure prediction, like AlphaFold 3, which depicted a pattern toward the generalization ability of the models leading toward Large Language Models (LLMs).

Pushkar Ambastha, From AlphaFold 2 to AlphaFold 3: A Review on Advancements in Protein Structure Prediction (Submitted to ACM Computing Surveys (Impact Factor: 23.8). Currently under review)

Investigated recent advances in protein structure prediction, like AlphaFold 3, which depicted a pattern toward the generalization ability of the models leading toward Large Language Models (LLMs).

DRAFT

DRAFT

DRAFT

DRAFT

DRAFT

DRAFT

Featured Works

Research

FEATURED

Synthetic Human Memories

WHERE

MIT Media Lab

YEAR

2024

FEATURED

Synthetic Human Memories

WHERE

MIT Media Lab

YEAR

2024

FEATURED

Synthetic Human Memories

WHERE

MIT Media Lab

YEAR

2024

FEATURED

Automated APP Detection

WHERE

Univ. of Pennsylvania

YEAR

2024

FEATURED

Automated APP Detection

WHERE

Univ. of Pennsylvania

YEAR

2024

FEATURED

Automated APP Detection

WHERE

Univ. of Pennsylvania

YEAR

2024

FEATURED

Immunological ABM

WHERE

MIT Media Lab

YEAR

2023-24

FEATURED

Immunological ABM

WHERE

MIT Media Lab

YEAR

2023-24

FEATURED

Immunological ABM

WHERE

MIT Media Lab

YEAR

2023-24

See all the other works ↗

See all the other works

See all the other works ↗

What I Work

Projects

Domain-specific Question Answering chatbot

We develop pipelines to retrieve a knowledge base article from the database based on the query and answer the query using the retrieved passage. We optimize the pipeline for performance, latency, and resource usage. Developed question-answering pipeline using techniques like model distillation, sparsification, pruning, and fine-tuning the DebertaV3-Base model to decrease inference time and have a minimum loss in accuracy. Project on PS given by DevRev.ai

We develop pipelines to retrieve a knowledge base article from the database based on the query and answer the query using the retrieved passage. We optimize the pipeline for performance, latency, and resource usage. Developed question-answering pipeline using techniques like model distillation, sparsification, pruning, and fine-tuning the DebertaV3-Base model to decrease inference time and have a minimum loss in accuracy.

We develop pipelines to retrieve a knowledge base article from the database based on the query and answer the query using the retrieved passage. We optimize the pipeline for performance, latency, and resource usage. Developed question-answering pipeline using techniques like model distillation, sparsification, pruning, and fine-tuning the DebertaV3-Base model to decrease inference time and have a minimum loss in accuracy. Project on problem statement given by DevRev.ai

GitHub
Report

Options Pricing and Market Calibration Simulator

Built a Black-Scholes options pricing simulator with Streamlit and yfinance, and modeled call or put Profit and Loss across 100+ spot-volatility grid scenarios. Generated 4 interactive heatmaps over a 10×10 volatility–spot grid to visualize PnL and pricing errors, identifying profitable scenarios and mispricings under shifting volatility regimes.

Built a Black-Scholes options pricing simulator with Streamlit and yfinance, and modeled call or put Profit and Loss across 100+ spot-volatility grid scenarios. Generated 4 interactive heatmaps over a 10×10 volatility–spot grid to visualize PnL and pricing errors under shifting volatility regimes.

Built a Black-Scholes options pricing simulator with Streamlit and yfinance, and modeled call or put Profit and Loss across 100+ spot-volatility grid scenarios. Generated 4 interactive heatmaps over a 10×10 volatility–spot grid to visualize PnL and pricing errors, identifying profitable scenarios and mispricings under shifting volatility regimes.

GitHub
Options Pricing App

BioNLP: Genomic and Protein Analysis with Transformers

Designed transformer-based pipelines, leveraging DNABERT for functional genomics with a 5% F1-score improvement using minimal fine-tuning on small datasets, and built a SARS-CoV-2 genome classifier achieving 99% accuracy, surpassing random forest by 40% in precision. Developed a Flask-based protein design and active site analysis platform, generating over 10,000 custom proteins, boosting ligand-binding prediction by 20%, and automating .pdb workflows.

Designed transformer-based pipelines, leveraging DNABERT for functional genomics with a 5% F1-score improvement using minimal fine-tuning on small datasets, and built a SARS-CoV-2 genome classifier achieving 99% accuracy, surpassing random forest by 40% in precision. Developed a Flask-based protein design and active site analysis platform, generating over 10,000 custom proteins.

Designed transformer-based pipelines, leveraging DNABERT for functional genomics with a 5% F1-score improvement using minimal fine-tuning on small datasets, and built a SARS-CoV-2 genome classifier achieving 99% accuracy, surpassing random forest by 40% in precision. Developed a Flask-based protein design and active site analysis platform, generating over 10,000 custom proteins, boosting ligand-binding prediction by 20%, and automating .pdb workflows.

GitHub - 1
GitHub - 2

Cover Generation using
OpenAI tools

Cover Generation using OpenAI tools

Developed a multi-modal pipeline that converts audio/text input into images using state-of-the-art OpenAI tools. Generated optimal transcripts for the podcasts and songs with OpenAI Whisper to use in creating prompts. Designed pipeline with Latent Diffusion Models (DALL-E) to generate aesthetic cover images from created prompts using ChatGPT/GPT-2 models. Project by IITG.ai Club, IITG

Developed a multi-modal pipeline that converts audio/text input into images using state-of-the-art OpenAI tools. Generated optimal transcripts for the podcasts and songs with OpenAI Whisper to use in creating prompts.

GitHub
HF-Spaces

Super Resolution Photo-Mosaic

Developed a Computer Vision pipeline that enhances the images by super-resolution and image stitching. Designed a multi-model pipeline consisting mainly of the Latent Diffusion Upscaler model for super-resolution and Image Stitcher to create a panorama.Github. Project by Coding Club, IITG


GitHub

[ Journey

[  My whole journey I followed and path towards my current state. ]

01

UUtah

01

UUtah

First steps towards research and worked on Adaptive Biomedical Segmentation.

02

HF x Health

02

HF x Health

Optimizing Medical Segmentation with Integrated Med-SAM and Fast-SAM Models for Enhanced Accuracy in Multi-Modal Imaging.

03

UPenn

03

UPenn

Ongoing project on Automating Detection of APP Abnormalities in Porcine Brain Histology for Post- Traumatic Epilepsy Analysis.

04

MIT

04

MIT

1) Calibrating Agent-Based Models for Tumor-Immune Interactions using Spatial Biopsy Data and 2) Study of Synthetic Human Memories

01

First steps towards research and worked on Adaptive Biomedical Segmentation.

UUtah

02

Optimizing Medical Segmentation with Integrated Med-SAM and Fast-SAM Models for Enhanced Accuracy in Multi-Modal Imaging.

HF x Health

03

Ongoing project on Automating Detection of APP Abnormalities in Porcine Brain Histology for Post- Traumatic Epilepsy Analysis.

UPenn

04

1) Calibrating Agent-Based Models for Tumor-Immune Interactions using Spatial Biopsy Data and 2) Study of Synthetic Human Memories

MIT Media Lab

01

UUtah

01

UUtah

First steps towards research and worked on Adaptive Biomedical Segmentation.

02

HF x Health

02

HF x Health

Optimizing Medical Segmentation with Integrated Med-SAM and Fast-SAM Models for Enhanced Accuracy in Multi-Modal Imaging.

03

UPenn

03

UPenn

Ongoing project on Automating Detection of APP Abnormalities in Porcine Brain Histology for Post- Traumatic Epilepsy Analysis.

04

MIT Media Lab

04

MIT Media Lab

1) Calibrating Agent-Based Models for Tumor-Immune Interactions using Spatial Biopsy Data and 2) Study of Synthetic Human Memories

AWARDS

GOLD MEDAL, INTER IIT TECH MEET 11.0 - 2023

KAGGLE 4X EXPERT - 2023

BRONZE MEDAL (85th/1100), KAGGLE - 2023

RESEARCH HEAD OF IITG.ai, IITG - 2023-24

BRONZE MEDAL (99th/1025), KAGGLE - 2023

CONVOLVE HACKATHON (28th/231) - 2022

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