---
title: "Anees Aslam - Machine Learning Engineer in Greater Chennai Area | Tal"
description: "Meet Anees Aslam, AI Engineer 🤍 I Love Engineering True AI Model - Top 1% ML Engineer, Microsoft Azure AI Winner, MS BITS Pilani, Gold Medalist, AI Research, Cisco IOT CCNA, Harvard CS50AI, NLP @IBM, Staff ML, US Patent, Google Award based in Greater Chennai Area. AI stack includes hugging face, m..."
image: "https://tal.club/meet/anees-aslam/share-image"
---

# Anees Aslam on Tal

## Headline

AI Engineer 🤍 I Love Engineering True AI Model \- Top 1% ML Engineer, Microsoft Azure AI Winner, MS BITS Pilani, Gold Medalist, AI Research, Cisco IOT CCNA, Harvard CS50AI, NLP @IBM, Staff ML, US Patent, Google Award

## About

Machine Learning Engineer and AI System Architect who loves building production AI from research to product and scale in realtime I’ve designed, developed, lead and contributed hands on in multiple AI domains includes Classical ML, Computer Vision, Audio, Cellular Signals, GenAI, EDGEAI, TinyML, Financial Intelligence and Autonomous Systems\. Designing and Leading systems through full lifecycle : problem definition → research → architecture → model development → evaluation → deployment → optimization → scale My prior work includes : ▶ Designing Enterprise GenAI systems with RAG, Agentic, AI Search and multilingual LLM \- saving Millions \($USD\) in annual business value\. ▶ Holding 𝗨𝗦𝗔 𝗣𝗮𝘁𝗲𝗻𝘁 for a novel AI architecture and Published research on Physical AI, Credit scoring, autonomous intelligence, llm and language modelling\. ▶ Winning Microsoft Azure AI Hackathon and Receiving Google's VRP Tiger Award for identifying a critical security vulnerability\. ▶ Developing & Deploying on\-device AI across ARM, Mobile, TinyML environments, including vision, speech, Sensing and SLMs systems where speed \(ms\), model size in \(Kb\) and power efficiency \(µW\) matters as much as being accurate and efficient\. ▶ Working across Python, C/C\+\+, Go, PyTorch, TensorFlow, Hugging Face, vLLM, CUDA, Docker, Azure, AWS, GCP and On\-Prem settings for Global clients, Top Conference, Consumer showcase and Millions of Users\. What excites me is not building demos\. Its building AI Systems that actually are intelligent, scalable, secure, efficient and useful in real world\. الحمد لله

## Location

Greater Chennai Area

## AI stack

hugging face

mcp

ollama

openai

llama\.cpp

vLLM

## Work experience

Machine Learning Engineer at NielsenIQ, Feb 2026 \- Present · 9 mos, Greater Chennai Area, Architecture & Innovation ⤷ Enterprise Productivity •Building AI Products that increase Business efficiencies, saves ROI and runs securely\. •Generative AI, Multimodal LLMs, Agentic Engineering, Fine\-tuning, Knowledge graphs\. •Seamless work across external enterprise tools featuring \- Microsoft Dynamics, Office365, SAP, AI Foundry, Copilots\.

AI Software Engineer at embedUR systems, Jun 2023 \- Dec 2025 · 2 yrs 7 mos, Greater Chennai Area, • EDGE\-AI25 : On\-Device AI demos, Small Language Models, TinyCAM, Facial ID, Signal Motion Sensing\. • Designed and optimized on\-device intelligence pipelines for real\-time, low\-latency edge deployment for vast HW and accelerators NPUs, TPUs, GPUs\. • Built an AI\-powered Fingerprinting API from scratch to production used to access Million Devices, featuring Boosting Algorithm, Classical ML Models\. • RAG pipeline featuring LLM\-based chat assistant for TinyML technical queries, Mixtral of Expert LLM, Deployed on GPU\. • Researcher for “Support Call Prediction in Edge”, a TinyML research paper,Research Symposium, San Francisco 2024\.• EDGE\-AI25 : On\-Device AI demos, Small Language Models, TinyCAM, Facial ID, Signal Motion Sensing\. • Designed and optimized on\-device intelligence pipelines for real\-time, low\-latency edge deployment for vast HW and accelerators NPUs, TPUs, GPUs\. • Built an AI\-powered Fingerprinting API from scratch to production used to access Million Devices, featuring Boosting Algorithm, Classical ML Models\. • RAG pipeline featuring LLM\-based chat assistant for TinyML technical queries, Mixtral of Expert LLM, Deployed on GPU\. • Researcher for “Support Call Prediction in Edge”, a TinyML research paper, Research Symposium, San Francisco 2024\.

Technical Lead at IBM, Oct 2022 \- Feb 2023 · 5 mos, Chennai, Student Academic Project : • Led development of BUC, an AI\-powered conversational assistant designed to improve banking interactions • Trained and optimized language models using IBM Watson infrastructure, improving response quality while supporting domain\-specific conversational banking requirements • Coordinated technical execution across engineering teams and stakeholders, ensuring successful delivery of production\-ready AI prototypes within project timelines\.

## Education

Master of Science, Artificial Intelligence, Birla Institute of Technology and Science, Pilani

Online Degree, CS50AI \- Artificial Intelligence, Harvard University

## Public links

- pypi\.org: https://pypi\.org/project/pyjepa/

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

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