I build systems thatactually ship.
I'm Tanisha Agarwal — an ML engineer and full-stack developer working across computer vision, backend architecture, and DevOps for fintech, banking, and insurance.
I ship ML and full-stack systems that survive real users.
I work end to end — from computer-vision models and data pipelines to the backends, deployments, and monitoring around them — with a bias for reliability in regulated environments.
Computer vision
Production detection, classification, and OCR pipelines built for accuracy in live financial workflows.
Applied ML
Feature engineering, cross-validation, and tuning on structured data — models chosen by precision, recall, and F1.
Full-stack engineering
Java / Spring Boot and Node.js backends with JWT auth and REST APIs, wired to modern, responsive frontends.
DevOps & observability
Containerized deployments instrumented with metrics and tracing so failures are visible before users feel them.
Compliance-aware ML
Systems built for regulated finance: PII masking, auditable rule logic, and documented data-quality standards.
Cross-functional delivery
Translating messy requirements for non-technical stakeholders across banking, insurance, and product teams.
0×
faster document processing
90s → 4s per document
0%
processing accuracy in live onboarding
YOLO · Faster R-CNN · 3+ doc types
0%+
manual review effort eliminated
OCR PII masking · DPDP-compliant
0%
backend latency cut at NepByte
server-side caching + response tuning
Systems built to run in production, not demos.
A mix of computer vision, applied ML, and full-stack builds — each measured by what it did once real users and real data hit it.
Computer Vision · Production
Document Intelligence Pipeline
End-to-end detection and classification across 3+ document types for live financial onboarding, with an OCR-based PII masking layer for DPDP compliance.
Machine Learning
IPL Match Outcome Predictor
A cross-validated ML pipeline with feature engineering and hyperparameter tuning on large structured datasets, with the model chosen by precision, recall, and F1.
Full-Stack · Real-Time
Treasure Hunt Platform
A multi-user system deployed at a live college event with real-time state, a MongoDB-indexed backend, and JWT auth — handling concurrent sessions at 100% uptime.
Five internships, one throughline — ship what actually works.
Across insurance, banking, and product teams — plus the coursework behind it.
- 01Jan 2026 — Jun 2026
computer vision
Product & ML Engineer Intern
Star Union Dai-ichi Life Insurance · Mumbai
Built an end-to-end document pipeline (YOLO, Faster R-CNN) for automated detection and classification across 3+ document types, containerized with Docker and wired into live onboarding — cutting turnaround from 90s to 4s at 100% accuracy. Added an OCR-based PII masking system for DPDP compliance, removing 80%+ of manual review.
YOLOFaster R-CNNOpenCVPyTesseractDocker - 02Jun 2025 — Jul 2025
ai research
Research Intern — AI in Banking
HDFC Bank · Mumbai
Analyzed AI/ML adoption across 5+ global banks and mapped scalable automation use cases to compliance and operational workflows. Evaluated rule-based vs. model-driven approaches for transaction monitoring and fraud detection, identifying standardization opportunities across portfolios.
ML StrategyFraud DetectionTransaction Monitoring - 03Sep 2024 — May 2025
backend · full-stack
Backend & Frontend Developer
NepByte Technologies · Vellore
Led a 4-member team delivering production platforms end to end: RESTful backend with JWT auth, structured logging, and CI/CD. Drove a 30% performance improvement via server-side caching, and added end-to-end observability with Prometheus metrics and Jaeger tracing across the microservices stack.
Spring BootREST · JWTCI/CDPrometheusJaeger - 04Jun 2024 — Jul 2024
process automation
Summer Technology Intern
SBI Mutual Fund · Mumbai
Overhauled an internal operations platform serving 50+ stakeholders, reducing task completion time by 25% and removing manual bottlenecks through rule-based order-request automation.
Rule EnginesSQLWorkflow Automation - 05Jul 2023
frontend
Web Development Intern
The Times Group · Mumbai
Modernized a legacy JSP platform with responsive layouts, cutting page latency by 33% (900ms → 600ms) and hardening role-based access controls.
JSPResponsive UIRBAC
Education
— 2022–2026B.Tech, Computer Science & Engineering
2022 — 2026Vellore Institute of Technology
GPA 8.53 / 10National semi-finalist at Flipkart GRiD 7.0 (Engineering Track) and Nokia “Accelerate Her in Tech”. Creative Head of the ADMARK Club and a Hacktoberfest open-source contributor.
Relevant coursework
Higher Secondary (Class XI–XII), Science
2020 — 2022Poddar Brio International School
PCM + Computer SciencePhysics, Chemistry, and Mathematics with Computer Science — early grounding in programming and quantitative problem-solving.
Core stack
— 19 toolsLet's build something that actually matters.
Get in touch
I'm open to early-stage ML roles, backend positions, and full-stack opportunities in fintech and B2B tech — and always up for a good engineering conversation.
Phone
+91 96199 59776LinkedIn
in/tanisha-agarwal9114GitHub
github.com/tanisha0911Location
Mumbai, Maharashtra, India