Open to opportunities

Dhruval Mehta

@dhruvalmehta

Full-Stack AI Engineer | LLM Agents, MERN, FastAPI, NLP Model Fine-tuning & Computer Vision | Building scalable B2B SaaS AI products end-to-end.

India

Message

What I'm looking for

I'm looking for remote or relocation opportunities where I can build production Voice AI, LLM agent, RAG, NLP, and real-time full-stack systems with a high-ownership team.

At Saakh, I build production Voice AI infrastructure for a B2B intelligence platform, including Asterisk SIP/ARI telephony, OpenAI Realtime audio bridges, multilingual STT/TTS, and sub-100ms enterprise AI calling.

I've also designed multi-agent LLM routing, RAG systems serving 1,000+ documents, multimodal floor-plan analysis with 92%+ detection accuracy, and data-enrichment pipelines that reduced profile costs by 35%. My work has cut analyst resolution time by 60%, eliminated manual reporting for 10+ enterprise clients, and supported scalable dashboard and async processing systems.

Previously, I owned database architecture and optimization at Amnex, led a production sports monitoring system, mentored nine interns, and built Java automation tools at eClinicalWorks. I enjoy greenfield systems where voice, AI, real-time infrastructure, and full-stack engineering meet.

Experience

Work history, roles, and key accomplishments

Current

Full Stack + AI Engineer

Current

Saakh

Dec 2024 - Present (1 year 8 months)

Engineered production Asterisk PBX stack with Tata Tele PSTN SIP trunk, built bidirectional RTP audio bridge to OpenAI GPT-4o Realtime API, and designed intent-based multi-agent LLM router. Architected enterprise dashboard with Firebase Phone Auth, RBAC, and Kubernetes-managed multi-service deployment.

SIP RTP G.711 OpenAI API GPT 4o Perplexity RAG LangGraph TypeScript React MongoDB Redis Docker Kubernetes GitHub Actions BullMQ Socket.IO OpenCV Puppeteer N8n Make.Com Razorpay Node Lang Chain

Full Stack Intern

Amnex Infotechnologies Pvt. Ltd.

Sep 2022 - Oct 2023 (1 year 1 month)

Owned database architecture and query optimization for Head-End System, reducing query execution time by 40%. Led development of Sports Monitoring System and mentored 9 junior interns.

PostgreSQL Angular Database Design Query Optimization Mentor Neo4j .NET .NET Core ADO.NET Docker Kubernetes Kafka

Software Developer Intern

eClinicalWorks

Jun 2022 - Aug 2022 (2 months)

Developed Java automation tool using Apache POI to split and restructure Excel worksheets, reducing manual data processing time by ~80%. Contributed to live eManager product codebase through code reviews and Java frontend/backend development.

Java Apache POI Excel Code Review Frontend Development Backend Development