---
title: "Ameer A. - Data AI Scientist in Bengaluru | Tal"
description: "Meet Ameer A., AI @ CSC || Backcountry || Sur La Table || One Kings Lane • Generative AI • LLMs • Conversational AI based in Bengaluru. AI stack includes anthropic apis, claude code, and claude. Explore public work links including github."
image: "https://tal.club/meet/ameer-azam/share-image"
---

# Ameer A\. on Tal

## Headline

AI @ CSC \|\| Backcountry \|\| Sur La Table \|\| One Kings Lane • Generative AI • LLMs • Conversational AI

## About

Life Is Lifetime Learning Process

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

codex

cursor

langgraph

## Work experience

Data AI Scientist at CSC Generation, Oct 2025 \- Present · 11 mos, Austin, TX

Senior Data Scientist \(R&D\) at Pixis, Feb 2024 \- Nov 2025 · 1 yr 10 mos, Bengaluru, Enhanced AI content generation by fine\-tuning Stable Diffusion models \(SDXL, SD1\.5, SD2\.0, FLUX\) with ControlNet for advanced customization, reducing generation latency by 60%\. Designed and implemented robust ad generation systems using ControlNet, image processing, and Flux frameworks, enabling visually compelling and personalized outputs\. Developed a shadow generation model using diffusion and image\-to\-image techniques, fine\-tuned on 100K images, achieving 80% human\-rated realism shadow\. Built scalable AI\-agent workflows and MCP servers for automated ad generation, real\-time insights, and campaign optimization\. Fine\-tuned and deployed domain\-specific diffusion models for rapid text and image ad creation, accelerating experimentation cycles\. Engineered backend infrastructure with diffusion and real\-time streaming data processing, ensuring efficient training and inference\. Conducted research on advanced diffusion models with licensing compliance, enhancing model efficiency using prompt engineering\.

Data Scientist \(R&D\) at Pixis, Oct 2022 \- Apr 2024 · 1 yr 7 mos, Bengaluru, Karnataka, India, Built and optimized Generative AI pipelines for product ad generation using text\-to\-image, upscaling, and inpainting, increasing efficiency by 50% and processing speed by 35%\. Integrated relational database monitoring and implemented queuing and parallel execution for scalable pipelines\. Drove advanced ML R&D initiatives, including model training, algorithm design, and prototyping for scalable systems\. Containerized ML pipelines for robust, high\-throughput production deployment\.

Data Scientist at HireQuotient, Jun 2022 \- Sep 2022 · 4 mos, Bengaluru, Implemented AI\-driven proctoring pipelines using pose estimation \(MediaPipe\) and YOLOv7 for cellphone detection\. Built face emotion recognition pipelines using RepVGG \+ MediaPipe on AffectNet\. Developed speech analysis and fluency assessment systems using Praat and Prosody for pause and articulation analysis\. Trained stacked CNN\+LSTM models on spectrogram features for speech fluency evaluation\.

AI Engineer Intern at Bobble AI, Apr 2022 \- Jun 2022 · 3 mos, Gurgoan harayana, Built GANs and AutoEncoders pipelines for controllable latent space training using SVM for image direction tasks \(e\.g\., spectacles removal, age transformation\)\.

Student Trainee CIP 2021 at Stanford University, Apr 2021 \- May 2021 · 2 mos, Remote, Section 272 \|\| Python Keral Project

## Education

Master of Technology \- MTech, Artificial Intelligence, University of Hyderabad

Bachelor of Technology \- BTech, Computer Science, Maulana Azad National Urdu University, Hyderabad

## Public links

- github: https://github\.com/ameerazam08

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

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