Aneesh Pawa

Software Engineer

Bangalore, India 2+ yrs exp 85 · Excellent

About

Software Engineer with 2+ years of experience building and shipping full-stack, AI-powered applications. At CoRover.AI, delivered production features for Ask Disha, IRCTC’s conversational booking platform, driving development across React.js, Next.js, and Node.js, integrating LLMs (BharatGPT, Google Gemini), and building end-to-end payment workflows. Contributed to multilingual conversational experiences supporting 13 Indian languages at scale.

Skills & Expertise (22)

React.js Intermediate

7.0/10

Years Exp

JavaScript Intermediate

6.5/10

Years Exp

REST APIs Intermediate

6.5/10

Years Exp

Chakra UI Intermediate

6.5/10

Years Exp

VS Code Intermediate

6.0/10

Years Exp

Postman Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Payment gateway integration Intermediate

6.0/10

Years Exp

Material UI Intermediate

6.0/10

Years Exp

Jira Intermediate

5.5/10

Years Exp

Express.js Intermediate

5.5/10

Years Exp

Node.js Intermediate

5.5/10

Years Exp

Next.js Intermediate

5.5/10

Years Exp

Typescript Intermediate

5.5/10

Years Exp

MySql Intermediate

5.0/10

Years Exp

Postgresql Intermediate

5.0/10

Years Exp

MongoDb Intermediate

5.0/10

Years Exp

Docker Beginner

4.5/10

Years Exp

REDUX Intermediate

4.5/10

Years Exp

C++ Beginner

3.5/10

Years Exp

AWS (EC2 AWS (S3

Work Experience

Software Engineer

CoRover.AI

Aug 2024 - Present

Led the end-to-end revamp of the IRCTC-integrated Ask Disha platform serving 20,000+ unique users, redesigning component architecture, optimizing rendering performance, and improving booking reliability across high-traffic usage. Developed prompt-based booking, split journey flow, and mini chatbot using LLMs (BharatGPT, Google Gemini), contributing to payment success rate improvements from 70% to 85% across UPI, card, QR, and voice payment flows. Integrated 10+ backend APIs and secure payment gateways supporting 4 payment methods, enabling reliable cross-platform transactions across Web and Mobile applications. Designed and implemented multilingual conversational workflows for the AMI Chatbot across 13 Indian languages, expanding accessibility for diverse user segments across India. Built structured API handling, fallback mechanisms, and transaction state management to ensure consistent booking and payment experiences during network failures and edge-case scenarios.

Frontend Developer Intern

JP Tokyo

Jan 2024 - Jun 2024

Built a web-based Attendance Management System using React.js and Chakra UI with attendance tracking, status views, and reporting workflows. Developed reusable, accessible UI components and resolved UI bugs, improving rendering performance and cross-browser compatibility.