---
title: "Harshit Singh - Full Stack AI Engineer in Gautam Buddha Nagar | Tal"
description: "Meet Harshit Singh, AI Engineer | AgenticAI | MCP | FastAPI | RAG | NLP based in Gautam Buddha Nagar. Explore public work links including github."
image: "https://tal.club/meet/harshit-singh/share-image"
---

# Harshit Singh on Tal

## Headline

AI Engineer \| AgenticAI \| MCP \| FastAPI \| RAG \| NLP

## Location

Gautam Buddha Nagar

## Work experience

Full Stack AI Engineer at Solinify, Nov 2025 \- Feb 2026 · 4 mos, Dubai, United Arab Emirates, Designed a ReAct\-based autonomous AI support agent for ticket triage, P0–P2 prioritization, automated escalation, and multi\-step follow\-ups; integrated with Slack and internal systems to optimize resolution workflows\. Built a SaaS CRM with role\-based access for five user tiers, enabling lead capture, assignment, pipeline analytics, unified inbox \(email \+ WhatsApp\), and voice\-note STT lead capture for automated handoffs\. Engineered an FMCG AI sales agent handling product enquiries, pricing, order placement, intent\-driven lead creation, and automated meeting scheduling; achieved 2s latency for real\-time conversational conversions, minimizing manual intervention\. Tech Stack: Python, LangGraph, FastAPI, PostgreSQL, Redis, SQLAlchemy, Meta, SendGrid, React

AI Engineer at Axia, Dec 2024 \- Sep 2025 · 10 mos, Mumbai, Led end\-to\-end AI development of a Japanese based horoscope app, creating culturally aligned, personalized experiences for the users\. Designed agentic workflows, monetizable chatbot features, and real\-time prompt\-experimentation dashboards\. Developed and scaled robust APIs using Flask to orchestrate multi\-agent behavior, memory management, and role\-based logic\. Implemented secure guardrail validators from scratch for Japanese\-language queries to ensure safe and reliable chatbot interactions\. Built a pipeline to efficiently process large chatbot conversation histories within the model’s context window, reducing latency by approximately 5 seconds and improving long\-dialogue context retention\. Contributed to business growth through API cost optimization, feature prioritization, and iterative enhancements based on client feedback\. Optimized backend memory usage by removing high\-overhead ML libraries, enabling deployment on micro instances instead of small instances and reducing compute costs by roughly 50 percent\. Developed a CI/CD pipeline using GitHub Actions to deploy and host seven\-plus AI generation endpoints on Amazon EC2, enabling automated updates and eliminating manual deployment overhead\.

## Education

Bachelor of Technology, Data Science, Dr\. A\.P\.J\. Abdul Kalam Technical University

Intermediate, Sunbeam Academy, Samneghat

## Public links

- github: https://github\.com/aitch\-cmd

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

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