Available for opportunities — 2026

SRIJAL KUMAR

Years Exp

Projects

Disciplines

Data Scientist

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•Data Science

•Full Stack Development

•Machine Learning

•Predictive Modeling

•NLP

•Edge AI

•Distributed Systems

•Cloud Native Architectures

•Data Science

•Full Stack Development

•Machine Learning

•Predictive Modeling

•NLP

•Edge AI

•Distributed Systems

•Cloud Native Architectures

01 — About

Jamshedpur,Jharkhand, IN

Building at the intersection of data and code.

I am a Data Scientist and Full Stack Developer specialized in creating intelligent software solutions. I design and build production-grade architectures that synthesize machine learning pipelines with high-performance, user-centric interfaces.

With three years of professional experience across analytical and product engineering roles, I eliminate structural silos by serving as the translator between statistical models and deployment engines. My engineering philosophy prioritizes visual restraint, robust API contract styling, and system resilience.

When I'm not orchestrating distributed pipeline nodes or fine-tuning local model weights, I construct minimal web patterns, read technical specifications, and optimize page performance indicators.

Education
B.Tech in Computer Science & Data Science

Focus Areas
Deep Learning, Full Stack SaaS, High-Throughput APIs

Availability
Open to Work

Work Style
Remote / Hybrid Collaboration

02 — Skills

A curated collection of frameworks, platforms, and methodologies I utilize to turn analytical hypotheses into scalable software systems.

Data Science & ML

Python Pandas NumPy Scikit-learn TensorFlow PyTorch XGBoost NLTK Matplotlib ONNX

Full Stack

React.js Node.js Next.js TypeScript Express.js GraphQL Tailwind CSS Vanilla CSS Modules

Databases & Cloud

MongoDB PostgreSQL Redis Firebase AWS Docker GitHub Actions

Analytics & Viz

SQL Power BI Tableau Plotly D3.js Snowflake

03 — Projects

01 / FEATURED

ML Classification Full Stack

Aegis: Real-time Credit Risk Classification System

Designed and deployed an end-to-end classification pipeline processing 50k+ transactions per second. Utilized XGBoost and PyTorch with a custom React-based monitoring dashboard, reducing false-positive merchant transaction alerts by 34%.

XGBoost PyTorch React.js FastAPI PostgreSQL

NLP Web App

Lexis: Contextual Legal Document Parser

A lightweight transformer-driven web application that parses unstructured legal documents and contracts, automatically extracting core liability clauses using fine-tuned RoBERTa models.

Python PyTorch FastAPI Next.js Docker

Computer Vision API

Spectra: Edge Detection Inference API

Ultra-low latency inference API running MobileNetV3 for spatial object detection on retail edge devices, optimized to run within restricted hardware environments using ONNX Runtime runtimes.

C++ Python ONNX FastAPI AWS ECS

Full Stack SaaS

Pulse: SaaS Cohort Churn Dashboard

A multi-tenant analytical dashboard tracking subscription growth, user cohort retention, and MRR metrics. Outfitted with statistical ARIMA models for forecasting future monthly churn vectors.

TypeScript React Express MongoDB Tailwind

Data Pipeline

Kinesis: Apache Kafka ETL Sync Engine

A high-throughput distributed database sync engine processing analytics streams. Transports event records to a Snowflake data warehouse with intermediate caching powered by Redis.

Python Kafka Redis Snowflake Docker

Developer Tool

Quarry: Headless Static Extraction CLI

A node-based build engine converting local GraphQL nodes into static HTML pages. Optimizes asset load paths to achieve ideal scores on Google Core Web Vitals audits.

Node.js GraphQL EJS Templates CSS Modules

04 — Contact

Let's build
something meaningful.

If you have a pipeline that needs optimizing, a product that needs building, or an analytical model that needs deploying, let's open a channel.

Email srijal.kumar30@gmail.com LinkedIn linkedin.com/in/srijal GitHub github.com/Srijal-io

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