Machine Learning

Deep Learning Specialization

Multi AI Agent Systems with crewAI

The Web Developer Bootcamp 2022

Class 12 CBSE

Class 10 ICSE

Bachelor of Technology (BTech)

Contributed to research efforts in Computational Social Sciences, focusing on the application of Natural Language Processing to study social media data and gain insights into public health, social & cultural phenomena.

Worked under the guidance of Dr. Sanja Šćepanović-Stojanović, Prof. Luca Maria Aiello, Prof. Andrés Gvirtz, & Prof. Daniele Quercia.

Worked on the following 2 projects:

1. Dream content discovery from social media using natural language processing (https://link.springer.com/article/10.1140/epjds/s13688-025-00554-w)

2. Understanding the divergence between digital health footprints and official prevalence: A multi-behaviour study across US states (https://doi.org/10.6084/m9.figshare.28171136)

Visiting Researcher

1. Developed a RAG-based charts search engine using Azure OpenAI API, MongoDB Atlas vector search, LangChain, to retrieve relevant charts, matching user query, from a database of 2 million+ charts.

2. Architected an automated data collection and transformation pipeline using Azure Document Intelligence API and OpenAI Batch API, cutting costs by 50% by shifting from immediate to asynchronous processing.

3. Engineered a suite of XGBoost models to predict news-success indicators, with MLflow-driven tracking, Docker-based deployment, and capabilities for real-time single-point inference and asynchronous batch inference.

4. Configured auto-deployments for multiple Python–FastAPI backend APIs to Azure VMs using GitHub Actions CI/CD, with basic Nginx reverse-proxy configuration to serve production websites.

5. Successfully migrated test and production deployments for multiple backend platforms from Azure to GCP, across our core product as well as separate client projects.

Software Development Engineer I (SDE-I)

Project 1: Automatic Vehicle Detection using feature ensemble of pre-trained networks
Project 2: Emotion detection from EEG signals using hybrid 1D-CNN + LSTM.

Machine Learning Research Intern

Project: Bangla Character Generation using Generative Adversarial Networks (GANs).
1. Trained DCGAN, WGAN-GP & ACGAN models - Evaluated using Inception Score & FID.
2. Used vector arithmetic to explore latent space to generate unseen compound characters

Deep Learning Research Intern

• Built API endpoints to implement app-specific request queueing using SSE (Server-Sent Events) & Redis

• Deployed 24 GB GPT-J model with 6 billion parameters on an AWS EC2 instance for classifying complaints

• Implemented basic CI/ CD pipelines using GitHub Actions for deploying backend APIs.

• Built multiple demos for client projects spanning Text summarisation, Translation & Question answering.

Software Development Intern

1. Developed a RAG-based charts search engine using Azure OpenAI API, MongoDB Atlas vector search, LangChain, to retrieve relevant charts, matching user query, from a database of 2 million charts.

2. Architected an automated data collection and transformation pipeline using Azure Document Intelligence API and OpenAI Batch API, cutting costs by 50% by shifting from immediate to asynchronous processing.

3. Engineered a suite of XGBoost models to predict news-success indicators, with MLflow-driven tracking, Docker-based deployment, and capabilities for real-time single-point inference and asynchronous batch inference.

4. Configured auto-deployments for multiple Python–FastAPI backend APIs to Azure VMs using GitHub Actions CI/CD, with basic Nginx reverse-proxy configuration to serve production websites.

5. Successfully migrated test and production deployments for multiple backend platforms from Azure to GCP, across our core product as well as separate client projects.

Software Development Engineer (SDE-1)

Software Development Engineer II (SDE-II)

SDE-2 @ AI Startup | Backend, ML & Analytics

github

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