---
title: "Tanush Singhal - Ai Backend Engineer in Ghaziabad | Tal"
description: "Meet Tanush Singhal, Aspiring Full-Stack Developer | National Hackathon winner🏆| 4th-Year CSE Student at BITS Pilani based in Ghaziabad. AI stack includes codex, cursor, and opencode. Explore public work links including github."
image: "https://tal.club/meet/tanush-singhal/share-image"
---

# Tanush Singhal on Tal

## Headline

Aspiring Full\-Stack Developer \| National Hackathon winner🏆\| 4th\-Year CSE Student at BITS Pilani

## About

Passionate about technology and constantly learning from my environment, I thrive on building and scaling impactful digital solutions\. As a Full Stack Developer with a strong foundation in Web Development, Artificial Intelligence, and Data Science, I’m driven by curiosity and a commitment to go beyond limits — constantly pushing myself to master new tools, frameworks, and problem\-solving strategies\. Currently exploring cutting\-edge technologies like conversational AI, scalable architectures, and cloud\-integrated systems\. Whether it’s backend logic or front\-end finesse, I enjoy crafting experiences that are efficient, user\-focused, and future\-ready\.

## Location

Ghaziabad

## AI stack

codex

cursor

opencode

## Work experience

Ai Backend Engineer at Showpad, Jul 2026 \- Present · 2 mos, Pune City, \* Contributing to AI\-powered role\-play and coaching experiences for sales representatives using Generative AI\. \* Developing conversation simulations, evaluation frameworks, and AI\-driven feedback mechanisms\. \* Building and improving conversational AI workflows with TypeScript, prompt engineering, and AWS Bedrock\. \* Collaborating with cross\-functional teams to design, test, and refine AI\-powered product features\. \* Supporting the development of scalable coaching experiences that deliver actionable insights and personalized feedback\.

LLM/MCP Engineer at Software Tree, LLC, Sep 2025 \- Jul 2026 · 11 mos, California, United States, • Working directly with the founder on developing and integrating Model Context Protocol \(MCP\) servers with structured database backends to enable seamless interaction between LLM agents and enterprise data\. • Contributing to the design of microservices that bridge AI model context with relational data through efficient ORM layers and RESTful APIs\. • Assisting in system architecture design, configuration setup, and environment automation to streamline deployment and scalability\.

Software Engineer at Centre for Railway Information Systems \(CRIS\), May 2025 \- Jul 2025 · 3 mos, Delhi, India, Parcel Management System \| Full\-Stack Solution Tech Stack: React \| Express\.js \| MySQL \| Node\.js \| Docker \| Gmail API Business Challenge: Designed and developed an enterprise\-grade Parcel Management System to optimize operational efficiency and eliminate communication bottlenecks across a distributed network of parcel stations while enhancing customer experience\. Key Achievements & Impact: Frontend Development: Built a responsive, user\-centric interface using React, delivering intuitive navigation and seamless user experience for station employees, resulting in improved operational workflow efficiency Backend Architecture: Engineered robust backend services with Express\.js, enabling real\-time message processing, live parcel tracking, and station\-specific data management with high reliability Database & Infrastructure: Implemented scalable MySQL database architecture with Docker containerization, ensuring consistent deployment across environments and simplified system maintenance Customer Experience Innovation: Developed QR code\-based parcel tracking system, enabling customers to instantly access real\-time parcel status and location information through simple QR code scanning, significantly enhancing customer satisfaction and transparency Security & Authentication: Developed secure OTP\-based authentication system integrated with Gmail API, including comprehensive fallback mechanisms to ensure uninterrupted access and system reliability Strategic System Design: Architected hierarchical station management model featuring: Master Station: Complete visibility and control over inter\-station communications Individual Stations: Secure, role\-based access limited to relevant parcel data and communications Operational Excellence: Enabled real\-time inter\-station communication and response capabilities, significantly reducing processing delays and enhancing accountability across the entire parcel handling workflow

## Education

Bachelor of Technology \- BTech, Computer Science, Birla Institute of Technology and Science, Pilani

Bachelor of Science \- BS, Data Science and Applications, Indian Institute of Technology, Madras

## Public links

- github: https://github\.com/aircmastercode

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

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