Sahil C.

AI Researcher

London, United Kingdom15 yrs 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in machine learning and recommender systems.
Contributed to Microsoft Copilot and Bing search improvements.
Strong background in deep learning and natural language processing.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in SaaS and Healthcare applications.

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Skills

Core Skills

Machine LearningRecommender SystemsNatural Language Processing (nlp)Applied Science

Other Skills

C++PyTorchC#Deep LearningAnthropic ClaudeHiveOpenAI CodexTokenizationPrompt EngineeringScientific BackgroundApplied TechnologyDistillationResearch and Development (R&D)Python (Programming Language)Artificial Neural Networks

About

I work at the intersection of machine learning, large-scale recommender systems, information retrieval, computer vision, and numerical optimization. Passionate about open source, I actively contribute to, and learn from the community. Before transitioning into research, I built and worked on two startups, experiences that shaped my practical, approach to Research. You can explore selected projects and experiments on my Github profile.

Experience

15 yrs 10 mos

Total Experience

3 yrs 9 mos

Average Tenure

1 yr 3 mos

Current Experience

Microsoft

2 roles

Applied Scientist

Aug 2021 – Mar 2025 · 3 yrs 7 mos

Joined Microsoft Turing team. Explored research in the field of controllable text generation.
Contributed to Core platform for Microsoft Copilot aka. Sydney. as an Applied Scientist, prompt and software platform engineer.
Built fundamentals for grounding, RAG, location specificity, metrics, and code interpreter features for copilot.

C#Deep LearningNatural Language Processing (NLP)Applied Science

Data & Applied Scientist

Jul 2019 – Aug 2021 · 2 yrs 1 mo

Worked with the Azure Global Development team on Deep Learning for Eye Care in collaboration with the Bascom Palmer Eye institute. Explored research to enable multitask learning to improve the quality of models being used for eye-care.
Worked in Bing-Core Relevance STCi to improve Bing search using Deep multitask learning. Explored use of additional signals to benefit the quality of ranking models in production.
Worked in Bing-Autosuggest to build natural language generation models with low latency as and improved the quality of query suggestion by defect reduction.
Involved in coming up with novel aspects of distillation to enable lower latencies for deployed models used for autosuggest personalization.

Deep LearningNatural Language Processing (NLP)Machine Learning

International institute of information technology

Masters Student

Aug 2016 – Jul 2019 · 2 yrs 11 mos · Hyderabad

I was a researcher working in the field of machine learning, numerical optimization, computer vision and natural language processing.
Specifically, my research interests lie in the work happening at the intersection between the above-mentioned fields.

Tracxn!

Software Development Engineer

Dec 2013 – Jul 2016 · 2 yrs 7 mos · Bangalore

Worked on tools and features using elasticsearch, content discovery and data mining. I have also additionally worked on managing servers and other devOps within the AWS ecosystem such as S3, load balancer and elastic compute.