---
title: "Amit Roy - Software Engineer - AI FDE in Bengaluru | Tal"
description: "Meet Amit Roy, AI engineer @ Google || M. Tech (IT) in AI @ IIIT Allahabad || LLM || Agentic AI || Generative AI || NLP || Computer Vision based in Bengaluru. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/amit-roy-2/share-image"
---

# Amit Roy on Tal

## Headline

AI engineer @ Google \|\| M\. Tech \(IT\) in AI @ IIIT Allahabad \|\| LLM \|\| Agentic AI \|\| Generative AI \|\| NLP \|\| Computer Vision

## About

I am an AI Engineer with a passion for solving real\-world problems through innovative AI and machine learning solutions\. At Centific, I have worked on exciting projects like developing a Generative AI\-powered resume fraud detection system, creating advanced computer vision models for object tracking and automating prompt and response validation process by fine tuning LLMs for large language models\. With a solid foundation in AI from IIIT Allahabad and hands\-on experience in tools like TensorFlow, PyTorch, and Azure, I thrive on building systems that are not only efficient but also impactful\. Whether it is improving forecasting models, fine tuning LLMs or optimizing algorithms, I am always up for a challenge\.

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Software Engineer \- AI FDE at Google, Jun 2026 \- Present · 3 mos, Bengaluru, Karnataka, India

Software Engineer \- Gen AI at ConcertAI, May 2025 \- May 2026 · 1 yr 1 mo, Bengaluru, Karnataka, India, 1\. Architected and deployed MCP\-driven multi\-agent systems using LangGraph and ReAct agents for clinical data analysis, enabling dynamic tool orchestration and scalable AI workflows 2\. Built an agentic text\-to\-SQL pipeline to convert natural language queries into real\-time medical dashboards, integrating prompt engineering, API automation, and context caching 3\. Developed LLM\-powered document intelligence systems to extract and structure information from medical prescriptions 4\. Implemented context caching strategies to optimize LLM performance by reducing redundant computation and token usage Key Impact: 1\. Achieved 67% reduction in latency and 98% decrease in token usage in multi\-agent workflows 2\. Delivered 62% faster query processing and 90% cost savings in production text\-to\-SQL systems 3\. Enabled scalable, production\-ready AI solutions for clinical decision support and data analysis

AI Engineer at Centific, Jan 2024 \- May 2025 · 1 yr 5 mos, Hyderabad, Telangana, India, 1\. Developed an agentic RAG chatbot with integrated web search to extract insights from large\-scale document sets \(500\+ pages\) 2\. Built a Generative AI\-based fraud detection system to identify multi\-identity submissions across 350,000\+ resumes 3\. Collaborated with cross\-functional global teams to design LLM evaluation and validation pipelines, leveraging PEFT techniques \(LoRA/QLoRA\) 4\. Engineered a multi\-camera tracking system combining Kalman filters and deep learning \(ResNeXt\-50 with Triplet Loss\) for identity recognition Key Impact: 1\. Improved retrieval accuracy by reducing \~30% irrelevant results using adaptive and corrective RAG techniques 2\. Scaled fraud detection pipelines for high\-volume, real\-time processing on Azure 3\. Achieved 88\.3% IDF1 score on AI City 2023 multi\-camera tracking benchmark 4\. Enhanced LLM output quality through automated validation and fine\-tuning workflows

## Education

Master of Technology, Information Technology\(AI\), Indian Institute Of Information Technology allahabad

Bachelor of Technology, Techno India Banipur 244

[View the original profile](https://tal.club/meet/amit-roy-2)

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