Mayank Rastogi
Advance DS @ ZS | X-DS @ Allstate |AI Agents | Generative AI(LLM) | NLP | MLOPs
- Role
- Advance Data Scientist at ZS
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Mayank Rastogi
I build agentic AI systems that move from prototype to production. Over 4.5 years, I have…
Experience
Advance Data Scientist
May 2024 — Present · Gurugram, IN
Won GenAI Hackathons: Played a pivotal role in winning two high-stakes, client-sponsored GenAI challenges with top consulting and tech firms. Built rapid, working prototypes that addressed real business problems. Our Agentic AI solution led to ZS becoming a preferred partner with a major R&D pharma client ($20M+ impact). Another win with secured a $15M+ engagement. Collaborated with cross-functional teams to deliver innovative solutions under tight deadlines, strengthening ZS\'s position in the AI space.Clinical DataGen Framework- Building the first-ever solution to transform the various clinical data types into a consumable state using a Multi-Agentic Architecture System, which can further be leveraged into different clinical trial documents for one of the world\'s top pharma R&D companies.Building the Product DocGenAI- Developed the AI Agentic Framework, which automates the process of a document generation system for the clinical trials document, leveraging the GCP ecosystem (Firestore, Cloud Storage, Vertex AI, Document AI, Cloud Functions). The system integrates Large Language Models (GPT-4, Claude 3.5 Sonnet, etc.) and RAG architecture, with customized modules to handle the complex tasks involved in clinical trial study documents- Designed and architected an LLM Evaluation Framework for Docgen, utilizing the LLM-as-Judge methodology to evaluate the AI-generated Clinical Trials Document product, which includes 80+ types of documents. This framework automatically assesses and scores multiple content types- Docgen helps generate documents using GenAI and is estimated to reduce document generation time by >50%.Patient Journey:Developed an ASR pipeline that generates the transcript from the consultation Video of the HCPs and patients with diarization and then leverages it to generate the Patient Journey using GenAI Approaches.
Education
UPES
Bachelor's degree, Computer Science Engineering With Specialization in Business analytics and optimization
2018 — 2022
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