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

Dubai, United Arab Emirates

Mumbai

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

Intermediate
Sunbeam Academy, Samneghat
Join Harshit and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossAI Engineer | AgenticAI | MCP | FastAPI | RAG | NLP
Gautam Buddha Nagar
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.
Bachelor of Technology, Data Science, Dr. A.P.J. Abdul Kalam Technical University
Intermediate, Sunbeam Academy, Samneghat
github: https://github.com/aitch-cmd