# Abhishek Sharma > Full-Stack Product Engineer | AWS Certified GenAI Developer (Pro) · Early Adopter 🥇 | RAG · Agentic AI · Deep Learning | Azure & AWS Cloud | Cook/Foodie 👨‍🍳 Location: San Francisco, California, United States Profile: https://flows.cv/abhisheksharma1 I'm a full-stack product engineer specializing in AI-powered enterprise SaaS applications. With 4+ years of experience, I build products that combine modern web technologies (React, TypeScript, Node.js, GraphQL) with cutting-edge AI capabilities (LLMs, RAG, agentic systems). Currently at Exelixis, I architected and shipped a generative AI platform using serverless agentic RAG pipelines, reducing medical insight delivery time by 50%. I design full-stack solutions—from React frontends and GraphQL APIs to LLM orchestration and vector search (OpenSearch), with enterprise-grade security (SSO, RBAC). What I bring: ✦ GenAI Engineering: Architecting RAG pipelines, multi-agent systems, and LLM integrations using AWS Bedrock, OpenSearch vector search, and custom prompt engineering ✦Product Engineering: Shipping customer-driven features end-to-end, collaborating with stakeholders, and iterating based on feedback ✦ Full-Stack Development: React, TypeScript, Node.js, GraphQL, Postgres, with cloud deployment on AWS and Azure ✦Enterprise Experience: Built B2B platforms for healthcare, KPMG International, and research institutions serving 250+ users AWS Certified Generative AI Developer - Professional (Early Adopter, top 5,000 globally) | Master's in Computer Science (Deep Learning specialization) from Penn State I'm passionate about building AI-powered products that solve real customer problems—whether that's automating complex workflows, enabling intelligent search, or creating conversational interfaces. Excited to collaborate on cutting-edge AI, cloud, and DevOps projects that push boundaries and drive digital transformation. 📩 Let's connect and explore opportunities in AI, Cloud, DevOps, and Software Engineering! 📍 Based in San Francisco ## Work Experience ### Software Engineer @ Exelixis Jan 2024 – Present | San Francisco Bay Area Developed and delivered AI-driven enterprise SaaS solutions for pharmaceutical medical affairs: ✦Architected and shipped a full-stack generative AI SaaS application using TypeScript, React, Node.js, and GraphQL on AWS, reducing medical insight delivery time by 50% through automated analysis of structured and unstructured data. Implemented serverless agentic RAG pipeline with LLMs, vector search (OpenSearch), enterprise authentication (Okta) and role-based access control for multi-user collaboration. Tools - AWS Bedrock, OpenSearch, Next.js, Okta. ✦Collaborated with product stakeholders to design a Python-based automation solution to curate medical conference sessions, reducing the manual review of 6,000-8,000 sessions per conference from 1-2 weeks to a few minutes. Gathered requirements from medical directors, iterated based on feedback, enabling near-instant insights for decision-making. ✦Architected and deployed a centralized data analytics solution, transitioning 250+ users from manual Smartsheet-based clinical trial insights collection to an integrated Salesforce + Tableau solution with SSO (Okta), resulting in a 50% improvement in data accessibility and reporting efficiency. Tools - Salesforce, Tableau, Form Assembly, Okta. ✦ Collaborated with subject matter experts to understand the Pharma Commercial and Medical Affairs domain, building business intelligence (BI) and AI solutions tailored to industry needs. ### Graduate Teaching Assistant @ Penn State University Jan 2023 – Jan 2024 | Middletown, PA Graduate Teaching Assistant Served as TA and grader for Design and Analysis of Algorithms, Machine Learning, Calculus, Statistics, and Python Programming courses. Supported 100+ students in understanding complex technical concepts. ### Graduate Research Assistant @ Penn State University Jan 2023 – Jan 2024 | Middletown, PA Conducted research under Dr. Truong X. Tran on: ✦ Optimizing Genetic Algorithm for Protein Crystallization: Built and shipped a cloud-based research application for optimizing protein crystallization using Genetic Algorithms,React, Django, and Postgres, enabling 10+ researchers to collaborate remotely and reducing processing time by 50%. Deployed on AWS and Azure with user authentication and role-based access. Tools - AWS Cloud, Azure Cloud, React, Django, Postgres. ✦ Parkinson's Disease Detection Using MRI Scans:Built a deep learning model for classifying “Atypical Parkinsonian” diseases using MRI scans, achieving 80% accuracy in distinguishing healthy individuals from MSA and PSP, in collaboration with Penn State Health Milton S. Hershey Medical Center. Worked directly with medical researchers to refine model requirements and validate results. Leveraged Azure Cloud for deployment and executed full SDLC. ### Software Engineer @ Xoriant Jan 2021 – Jan 2022 | Pune Division Delivered cloud solutions through infrastructure management and automation: ✦ Led a team of 4 to deploy enterprise applications for KPMG International (an e-commerce and accounting client) on Azure Cloud, provisioning 16+ services in a microservices architecture using Terraform and deploying containerized applications with Kubernetes, ensuring seamless scalability and reliability in production systems. ✦ Designed and built CI/CD pipelines for Kubernetes clusters, automating deployment, scaling, and operational metrics capture, reducing deployment time by 50%, ensuring 99.9% uptime, and enabling rapid feature deployment for product teams. ✦ Elicited requirements and created user stories based on use case scenarios. Built data pipelines for customer’s analytics solutions, sourcing regional data from multiple sources. Managed projects and achieved on-time delivery leveraging agile methodology. Ran daily Scrums and fostered close collaboration between client and development teams to deliver the solutions. ✦ Implemented Terraform modules for DNS, IAM, and IAM User Access, reducing infrastructure provisioning time by 40% and enabling secure multi-tenant deployments on Google Cloud Platform for Xoriant’s in-house project. ✦ Employed Python automation to optimize Dockerfile practices, resulting in reduced image size and layer count. Implemented Notary and Content Trust for secure content verification and standardized Dockerfile documentation across the organization. ✦ Incorporated and installed SSL certificates to maintain HTTPS security standards for Ford Motor Company. ## Education ### Master's degree in Computer and Information Sciences Penn State University ### B.E in Computer Engineering Savitribai Phule Pune University ### HSC in PCM Sunbeam School Lahartara,Varanasi ## Contact & Social - LinkedIn: https://linkedin.com/in/itsabhisheksama - Portfolio: https://abhi-sama.vercel.app/ --- Source: https://flows.cv/abhisheksharma1 JSON Resume: https://flows.cv/abhisheksharma1/resume.json Last updated: 2026-04-11