---
title: "Shrreya Behll - Senior Engineer - ML in Hyderabad | Tal"
description: "Meet Shrreya Behll, Senior ML Research Engineer @Qualcomm | MSc Data Science and ML @Imperial College London | Ex- Abcam, American Express based in Hyderabad. AI stack includes claude code, deepseek, and langchain."
image: "https://tal.club/meet/shrreya-behll/share-image"
---

# Shrreya Behll on Tal

## Headline

Senior ML Research Engineer @Qualcomm \| MSc Data Science and ML @Imperial College London \| Ex\- Abcam, American Express

## About

I don’t just work with data—I question it\. I look for what’s missing, what’s hidden, and what could change if we understood it better\. Because behind every dataset is a decision waiting to be improved, a system waiting to be smarter, or a story waiting to be told\. I’m a Data Scientist and Machine Learning professional working in R&D, building solutions where curiosity meets real\-world impact\. I enjoy turning ambiguity into structure, and complexity into clarity—whether that’s through scalable ML models, intelligent systems, or data\-driven insights that actually drive action\. My journey has taken me from solving high\-impact business problems at American Express to sharpening my expertise in AI and Machine Learning at Imperial College London and now in the R&D space at Qualcomm\. With 7\+ years across software engineering, machine learning, and data science, I’ve developed a strong bias for ownership, adaptability, and continuous learning\. I’m comfortable in fast\-moving, ambiguous environments—and I enjoy figuring things out when there’s no clear playbook\. But here’s what matters most to me: Technology should create access, not barriers\. That’s why I actively mentor under\-resourced girls through HopeWorks Foundation, support women in tech via AnitaB\.org, and lead Inclusion & Diversity initiatives\. Because impact isn’t just about what we build—it’s also about who we empower along the way\. I love connecting with new people and share ideas\. If you’re building something ambitious, unconventional, or impactful—let’s talk\.

## Location

Hyderabad

## AI stack

claude code

deepseek

langchain

mcp

openai

Wispr Flow

## Work experience

Senior Engineer \- ML at Qualcomm, Nov 2025 \- Present · 10 mos, Hyderabad, Telangana, India, \-Driving Voice AI R&D for automotive infotainment systems, enabling seamless and reliable in\-car speech experiences such as ECNS \(Echo cancellation and noise suppression\) and voice zonal separation\. \-Built speech enhancement solutions for multi\-microphone arrays using LSTM architectures and OpenAI Whisper, improving speech clarity in noisy, real\-world driving environments\. \- Developing SVA, wake word detection models for automobiles\.

Senior Data Scientist at Abcam, Jan 2025 \- Nov 2025 · 11 mos, India, \-Built a Funding\-Driven Lead Generation system powering cross\-sell and up\-sell opportunities across multiple Danaher operating companies \(Beckman Coulter, Molecular Devices, Sciex, Leica\)\. \-Partnered with marketing and commercial teams to integrate GenAI\-powered messaging strategies using OpenAI, leading to measurable increases in click\-through and conversion rates\. \-Delivered enterprise\-wide AI capabilities that accelerated revenue growth potential by streamlining lead generation, personalization, and product targeting across the Danaher portfolio\.

Data Scientist II at Turing, Oct 2024 \- Jan 2025 · 4 mos, India, Fine\-tuned Large Language Models \(LLMs\) for Microsoft and ByteDance using Supervised Fine\-Tuning \(SFT\) and Reinforcement Learning with Human Feedback \(RLHF\) to improve accuracy, alignment, and real\-world applicability of AI systems\.

Research Intern at OpenWeather, Aug 2024 \- Sep 2024 · 2 mos, London Area, United Kingdom

Research Intern \- MSc Thesis at Imperial College London, May 2024 \- Sep 2024 · 5 mos, London Area, United Kingdom, \- Leveraged cutting\-edge Generative AI techniques—Adversarial auto\-encoders, LSTM, CNN, and attention mechanisms to analyze the impact of pollution on respiratory health, uncovering key insights from complex datasets\. \- Applied transfer learning to fine\-tune models for predicting individual health outcomes based on smartwatch data, integrating health metrics, pollution levels, and GPS information for personalized insights\. \- This research internship was tied with OpenWeather\.

## Education

MSc Environmental Data Science and Machine Learning, Imperial College London

Bachelor of Technology \- BTech, Computer Science, Guru Gobind Singh Indraprastha University

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

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