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

Hyderabad, Telangana, India

India

India

London Area, United Kingdom

London Area, United Kingdom







MSc Environmental Data Science and Machine Learning
Imperial College London

Bachelor of Technology - BTech, Computer Science
Guru Gobind Singh Indraprastha University
Join Shrreya and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossSenior ML Research Engineer @Qualcomm | MSc Data Science and ML @Imperial College London | Ex- Abcam, American Express
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.
Hyderabad
claude code
deepseek
langchain
mcp
openai
Wispr Flow
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.
MSc Environmental Data Science and Machine Learning, Imperial College London
Bachelor of Technology - BTech, Computer Science, Guru Gobind Singh Indraprastha University