Shrreya Behll profile photo 1 on Tal

Shrreya Behll

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

Hyderabad

2+ years of work experience

Qualcomm
Nov 202510 mosPresent

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.
Abcam
Jan 202511 mosNov 2025

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.
Turing
Oct 20244 mosJan 2025

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.
OpenWeather
Aug 20242 mosSep 2024

London Area, United Kingdom

Imperial College London
May 20245 mosSep 2024

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.

Shrreya’s AI Stack

claude code
claude code
deepseek
deepseek
langchain
langchain
mcp
mcp
openai
openai
Wispr Flow
Wispr Flow

Education

Imperial College London

MSc Environmental Data Science and Machine Learning

Imperial College London

20231 yr2024
Guru Gobind Singh Indraprastha University

Bachelor of Technology - BTech, Computer Science

Guru Gobind Singh Indraprastha University

20154 yrs2019

Join Shrreya and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

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