Aniket singha Roy

Software Engineer

Bengaluru, India 1+ yrs exp 82 · Excellent

About

Software Engineer with 1+ year of experience building Generative AI and full-stack applications. Hands-on experience with LLM integration, Agentic and tool-augmented workflows, and Retrieval-Augmented Generation (RAG) pipelines using LangChain, Google Gemini, and the Qdrant vector database. Strong Python foundation from production data-pipeline work (300+ Scrapy scripts feeding LLM training datasets), with additional experience across React, TypeScript, Node.js, Express.js, and MongoDB/SQL. Comfortable working across the full stack — from RAG/agent pipelines and REST APIs to production-ready frontend interfaces.

Skills & Expertise (23)

Typescript Intermediate

6.4/10

Years Exp

React.js Intermediate

6.4/10

Years Exp

REDUX Intermediate

6.4/10

Years Exp

GitHub Intermediate

6.0/10

Years Exp

HTML5 Intermediate

6.0/10

Years Exp

CSS3 Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

REST API development Intermediate

5.6/10

Years Exp

Express.js Intermediate

5.6/10

Years Exp

Node.js Intermediate

5.6/10

Years Exp

Tailwind CSS Intermediate

5.6/10

Years Exp

Python Intermediate

5.6/10

Years Exp

Ant design Intermediate

5.0/10

Years Exp

MongoDb Intermediate

5.0/10

Years Exp

MySql Intermediate

5.0/10

Years Exp

SQL Intermediate

5.0/10

Years Exp

GitHub Actions Intermediate

5.0/10

Years Exp

Docker Intermediate

5.0/10

Years Exp

LangChain Beginner

4.0/10

0.5

Years Exp

RAG Pipelines Beginner

3.0/10

0.5

Years Exp

Prompt Engineering Beginner

3.0/10

0.5

Years Exp

Javascript (ES6+ Google Gemini API

Work Experience

Software Engineer

Valiance Solutions

May 2025 - Jul 2026

Built core frontend features for CivicEye, a surveillance and incident-detection platform, including an alert dashboard handling 200+ daily alerts and a live monitoring view across 50+ camera feeds, using React, TypeScript, and Redux. Developed a Leaflet.js heatmap visualization layer across 50+ cameras and improved dashboard page load performance by 30% through React memoization and render optimization. Built a library of 20+ reusable React/TypeScript components, reducing duplicate code across CivicEye’s alert, camera-config, and incident-detection modules, and wrote Jest unit tests to reduce regressions before deployment. Designed and maintained an automated data-extraction pipeline (300+ scraping scripts in Python/Scrapy) delivering high-uptime, structured data extraction at scale for downstream LLM training datasets.