Aakash Goel
Senior Data Scientist @Microsoft
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WORK HISTORY
Senior Data Scientist @Microsoft
Cheltenham, GB
Project: Internal ChatGPT for Threat Analyst • Orchestrated the setup of an RBAC-enabled vector database, facilitating onboarding of 200+ analysts and handling 10k+ queries in 2 months, resulting in significant savings in man-days of effort. • Leveraged various versions of the Agentic RAG system and deployed deep research agents to tackle complex 5-6 sentence queries, providing detailed multi-page reports for comprehensive threat analysis, including chat-based resulting in faster threat hunting and enhanced response capabilities. Project: Structured Data Model • Implemented 20+ entity extractions at scale to structure threat actor data, enabling improved data organization, queryability, and analysis efficiency within the threat analysis domain.
EDUCATION
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Data science
D.A.V Centenary public School, Rohtak
Non Medical Science
Kurukshetra University
BTech - Bachelor of Technology, Computer Science
Indian Institute of Technology, Delhi
Research Intern, NLP
ABOUT AAKASH GOEL
Senior Data Scientist with 9.5+ years of experience leading the design and delivery of large-scale Machine Learning and Generative AI systems across security, cloud, and enterprise productivity. Currently at Microsoft (UK), where I work on LLM-powered platforms for threat intelligence, shaping both technical direction and execution.I operate at the Staff/Principal level, owning ambiguous problem spaces end-to-end—translating business and security needs into scalable AI architectures, aligning stakeholders, and guiding teams from experimentation to production. My recent work includes leading the development of an internal ChatGPT-style platform for threat analysts, built on RBAC-enabled vector databases, agentic RAG, and deep research agents. The system onboarded 200+ analysts, handled 10k+ queries in two months, and materially reduced manual investigation effort while improving depth and speed of threat analysis.Previously at Microsoft India (R&D), I led multiple high-impact initiatives:* Ransomware detection systems operating at 12+ million signals per hour, driving end-to-end model strategy, evaluation, and production deployment for both consumer and enterprise security* Private-repo code assistant for OneDrive and SharePoint, where I defined the GenAI architecture (RAG, embeddings, fine-tuned Code LLMs, multi-agent orchestration), built evaluation frameworks, and drove adoption—achieving 90% human-eval satisfaction* GenAI accelerators and platforms for document QA, summarization, and rapid prototyping across teamsEarlier in my career at Fractal Analytics, I delivered ML and NLP solutions for large enterprise clients, spanning customer analytics, recommendation systems, text similarity, and risk modeling—building a strong foundation in applied ML at scale.Leadership & technical focus areas:* Technical strategy for GenAI, LLM platforms, and agentic systems* ML system design, evaluation rigor, and production readiness* NLP, Information Retrieval, Entity Extraction, and RAG* Mentorship, technical reviews, and cross-org collaborationI’m motivated by high-leverage problems, building durable AI platforms, and helping organizations move from GenAI experimentation to reliable, responsible, and scalable impact.
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