Summary
Overview
Work History
Education
Skills
Timeline
Generic

Amrit Raj

Gurugram

Summary

Senior AI Engineer with over 3 years of backend experience, specializing in Agentic AI and LLM systems. Demonstrated expertise in developing multi-agent workflows and real-time voice AI pipelines, contributing to production-grade AI infrastructure. Proficient in Python, FastAPI, and ML deployment, with a successful history of delivering low-latency AI solutions across Real Estate, FinTech, and Retail sectors. Aiming to leverage advanced AI technologies to drive innovation and efficiency in future projects.

Overview

3
3
years of professional experience

Work History

AI/ML Engineer

Ethara AI
Gurugram
02.2024 - Current
  • Architected production-grade multi-agent AI systems using LangGraph, automating lead qualification, scheduling, and decision routing.
  • Built real-time voice AI agents (ASR → LLM → TTS) using WebSockets, enabling autonomous outbound calls and direct CRM / backend actions.
  • Designed and deployed scalable RAG pipelines using Qdrant, Pinecone, and hybrid retrieval, ensuring grounded, accurate responses over proprietary data.
  • Integrated LLM-based NLP & ML components for semantic search, document understanding, and structured data extraction.
  • Optimized async workflows and inference pipelines, improving system reliability and reducing end-to-end latency in production.
  • Translated ambiguous business requirements into scalable AI system designs in collaboration with product and leadership teams.
  • Collaborated with cross-functional teams to integrate AI solutions into existing systems.
  • Assisted in the deployment of AI models in cloud environments for scalability.

Software Engineer

IndiIT Solutions
Mohali
02.2023 - 02.2024
  • Built high-performance backend services using Python and FastAPI in a microservices architecture.
  • Implemented OAuth2 and RBAC, strengthening security and access control.
  • Reduced P95 API latency by ~40% using Redis caching, serialization tuning, and optimized DB access.
  • Improved production stability via standardized error handling, validation (Pydantic), and resilient retries.
  • Participated in code reviews to ensure quality and adherence to standards.

Education

B.E Cse (hons) - Computer Science

Chandigarh University
Chandigarh
06-2019

Skills

LLM & Agentic AI: LangGraph, LangChain, Tool Calling, RAG, Prompt & Context Engineering, OpenAI, Gemini, Anthropic, Hugging Face, CrewAI, Agent Lightning, MCP

ML & NLP: Embeddings, Semantic Search, Document Understanding, Structured Extraction, PyTorch, Scikit-learn, LoRA, Model Quantization, Distributed Inference, Active Learning,

Backend Systems: Python, FastAPI, Nodejs, REST APIs, GraphQL, WebSockets, Async I/O, Event-Driven Architecture

Data Stores: Qdrant, Pinecone, FAISS, PostgreSQL, MongoDB, Redis

Cloud, DevOps & MLOps: AWS (EC2, S3, IAM, CloudWatch), Docker, GitHub Actions, CI/CD, ML inference pipelines, model versioning, LLM observability

Languages: Python, TypeScript, JavaScript, SQL

Timeline

AI/ML Engineer

Ethara AI
02.2024 - Current

Software Engineer

IndiIT Solutions
02.2023 - 02.2024

B.E Cse (hons) - Computer Science

Chandigarh University
Amrit Raj