---
title: "Abhima Kulshrestha - Junior Data Scientist in Bengaluru | Tal"
description: "Meet Abhima Kulshrestha, Jr. Data Scientist @OFI Services | Final Year CS @ VIT Bhopal | Full Stack + AI/ML | Python · FastAPI · React.js · Next.js | AWS AI/ML Scholar · Microsoft Include Her based in Bengaluru. AI stack includes aistudio, antigravity, and claude code. Explore public work links inc..."
image: "https://tal.club/meet/abhima-kulshrestha/share-image"
---

# Abhima Kulshrestha on Tal

## Headline

Jr\. Data Scientist @OFI Services \| Final Year CS @ VIT Bhopal \| Full Stack \+ AI/ML \| Python · FastAPI · React\.js · Next\.js \| AWS AI/ML Scholar · Microsoft Include Her

## About

Building production AI systems \| Full Stack \+ ML Engineering \| Graduating Oct 2026 Currently: Machine Learning Engineer @ Manya Fintech — architecting a distributed 14\-stage AI video intelligence pipeline processing 50\+ match videos/week at 88% classification accuracy using Python, FastAPI, Redis, and Google Gemini\. What I build: → AI\-powered platforms \(MediVox — 1,000\+ users, 95% accuracy, sub\-300ms latency\) → Real\-time distributed backends \(FastAPI · Celery · Redis · PostgreSQL · WebSockets\) → Full\-stack web apps \(React\.js · Next\.js · TypeScript · Tailwind CSS\) → ML pipelines end\-to\-end \(model training → MLflow tracking → Docker deployment\) Stack: Python · React\.js · Next\.js · FastAPI · Node\.js · PostgreSQL · Docker · AWS · Redis · MLflow Credentials: 🏅 AWS AI/ML Scholar 🏅 Microsoft Include Her Cohort 4\.0 🏅 McKinsey Forward Program 🏅 Google for Startups — Prompt to Prototype 🏅 SIH 2023 Finalist Open to full\-time SWE · ML Engineer · Full Stack roles \(2026 fresher\)\. 📩 abhimakulshrestha2004@gmail\.com \| portfolio\-99lb\.vercel\.app

## Location

Bengaluru

## AI stack

aistudio

antigravity

claude code

claude

codex

cursor

## Work experience

Junior Data Scientist at OFI Services, Jun 2026 \- Present · 3 mos, Bengaluru

Machine Learning Engineer at TwynUp, Apr 2026 \- Jun 2026 · 3 mos, Architecting an enterprise\-scale AI sports analytics platform — distributed 14\-stage video intelligence pipeline that outputs tactical reports, highlight clips, and CSV analytics using Google Gemini 2\.5 Flash/Pro\. Processing 50\+ match videos/week at 88% event classification accuracy\. Key work: • Scalable async backend: FastAPI · Celery · Redis · PostgreSQL — cut failure reruns by 60% and runtime by 35% • Automated FFmpeg highlight generation — eliminated 70% of manual editing effort • Real\-time Server\-Sent Events \(SSE\) progress tracking and interactive Next\.js analytics dashboard • Trained custom OpenWakeWord wake\-word models with MLflow\-tracked evaluation pipelines • Implemented Intersection over Union \(IoU\) temporal deduplication — sub\-2s timestamp sync accuracy across multi\-camera feeds Stack: Python · FastAPI · Celery · Redis · PostgreSQL · Docker · Google Gemini · OpenCV · Next\.js · MLflow

Software Development &amp; Machine Learning Intern at TwynUp, Jan 2026 \- Mar 2026 · 3 mos, Built real\-time sports analytics dashboards \(React\.js · PostgreSQL · WebSocket\) with &lt;200ms latency across 3 concurrent feeds\. Designed normalised database schemas and CI/CD pipelines via GitHub Actions — cutting deployment cycle by 25%\. • Developed frontend and backend modules for sports analytics platforms • Contributed to automation workflows, database design, and early\-stage event detection systems Stack: React\.js · Python · PostgreSQL · WebSockets · GitHub Actions

Fullstack Development Intern at SignSetu, Oct 2025 \- Nov 2025 · 2 mos, Hyderabad, Built accessible frontend and backend modules for a Deaf Education Technology platform serving 200\+ learners — improving task completion by 30% and cutting the release cycle from 2 weeks to 4 days through Agile sprints and CI/CD automation\. • Designed and implemented 5\+ interactive React\.js/Node\.js modules improving usability and accessibility for Deaf and hard\-of\-hearing learners • Collaborated in Agile \(Scrum\) sprints to iteratively develop and deploy new features — reduced release cycle from 2 weeks to 4 days via CI/CD pipelines • Maintained scalable, well\-documented codebases and contributed to version control workflows using Git and GitHub • Worked across full stack \(frontend UI \+ backend APIs\) to deliver responsive, inclusive user experiences Stack: React\.js · Node\.js · REST APIs · Git · GitHub · CI/CD · Agile \(Scrum\)

AI Intern at All India Council for Technical Education \(AICTE\), Jun 2023 \- Jul 2023 · 2 mos, Remote, Built a Mental Health Fitness Tracker using Python and Linear Regression — applied GridSearchCV hyperparameter optimisation, improving model R² by 15% to achieve 82% stress\-prediction accuracy on a 10\-feature dataset\. Stack: Python · Scikit\-learn · Linear Regression · Feature Engineering

## Education

Bachelor of Technology \- BTech, Computer Science, Vellore Institute of Technology

Bansal Public School

## Public links

- github\.com: https://github\.com/https://github\.com/abhimakulshrestha
- portfolio\-99lb\.vercel\.app: https://portfolio\-99lb\.vercel\.app/

[View the original profile](https://tal.club/meet/abhima-kulshrestha)

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