Abhishek Sharma

I buildAI-powered applications

Full-stack product engineer with 4+ years of experience building AI-driven enterprise apps. AWS Certified GenAI Developer – Professional (Early Adopter). Specialized in Next.js, Python, and AWS Bedrock, specializing in serverless RAG pipelines, agentic workflows, and responsible AI governance.

📧itsabhisheksama@outlook.com
📍San Francisco, CA
open

About Me

Get to know me better

I'm a full-stack product engineer with 4+ years of experience building AI-powered enterprise SaaS applications. I specialize in combining modern web technologies (React, TypeScript, Node.js, GraphQL) with cutting-edge AI capabilities (LLMs, RAG, agentic systems) to deliver solutions that solve real customer problems.

Currently at Exelixis, I architected and shipped a generative AI platform using serverless agentic RAG pipelines that reduced 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).

I'm AWS Certified Generative AI Developer - Professional (Early Adopter, top 5,000 globally) with a Master's in Computer Science (Deep Learning specialization) from Penn State. My experience spans enterprise environments (Exelixis, KPMG International) and research settings (Penn State), giving me a unique perspective on shipping production-grade AI solutions.

What I bring:
✦ GenAI Engineering: RAG pipelines, multi-agent systems, LLM integrations (AWS Bedrock, OpenSearch)
✦ Product Engineering: Shipping customer-driven features, collaborating with stakeholders, iterating based on feedback
✦ Full-Stack Development: React, TypeScript, Node.js, GraphQL, Postgres, deployed on AWS and Azure
✦ Enterprise Experience: Built B2B platforms serving 250+ users across healthcare and research institutions

When I'm not coding, you'll find me exploring San Francisco's cafe scene, experimenting in the kitchen, or capturing moments through my camera.

Let's build something great together.

4+
Years Experience
25+
Technologies Mastered
15+
Projects Completed
50%
Efficiency Improvements

Work Experience

My professional journey

Software Engineer

Exelixis

full-time
Aug 2024 - PresentSan Francisco, CA

Building AI-powered enterprise SaaS solutions for pharmaceutical medical affairs, focusing on full-stack development with modern web technologies and generative AI.

Key Responsibilities:

  • Architect and ship full-stack generative AI SaaS applications using TypeScript, React, Node.js, and GraphQL
  • Design serverless agentic RAG pipelines with LLMs and vector search
  • Collaborate with product stakeholders to gather requirements and iterate based on feedback
  • Implement enterprise-grade security with SSO (Okta) and role-based access control
  • Build data analytics solutions integrating Salesforce, Tableau, and Form Assembly

Achievements:

  • Architected generative AI platform reducing medical insight delivery time by 50% through automated analysis
  • Implemented serverless agentic RAG pipeline with LLMs, vector search (OpenSearch), and enterprise authentication
  • Automated manual review of 6,000-8,000 conference sessions from 1-2 weeks to minutes using Python
  • Deployed centralized analytics solution transitioning 250+ users from Smartsheet to Salesforce + Tableau with 50% efficiency improvement
ReactTypeScriptNode.jsGraphQLAWSOpenSearchOktaPythonSalesforceTableauGenerative AILLMsRAG Pipelines

Graduate Research Assistant

Pennsylvania State University

part-time
Jan 2023 - May 2024State College, PA

Conducted research under Dr. Truong X. Tran, building cloud-based applications for scientific research and developing deep learning models for medical imaging.

Key Responsibilities:

  • Build and deploy cloud-based research applications using Django, React, and PostgreSQL
  • Develop deep learning models for medical image classification
  • Collaborate with medical researchers to refine requirements and validate results
  • Deploy applications on AWS and Azure with user authentication and role-based access
  • Execute full SDLC from requirements gathering to production deployment

Achievements:

  • Built cloud-based protein crystallization application enabling 10+ researchers to collaborate remotely, reducing processing time by 50%
  • Developed deep learning model for classifying Atypical Parkinsonian diseases with 80% accuracy
  • Deployed applications on both AWS and Azure clouds with enterprise authentication
  • Collaborated with Penn State Health Milton S. Hershey Medical Center on medical AI research
DjangoReactPostgreSQLPythonAWSAzure CloudTensorFlowDeep Learning

Graduate Teaching Assistant

Pennsylvania State University

part-time
Jan 2023 - Jun 2024State College, PA

Served as teaching assistant and grader for multiple computer science courses, supporting students in understanding complex technical concepts.

Key Responsibilities:

  • Assist students with Design and Analysis of Algorithms coursework
  • Grade assignments and provide feedback for Machine Learning course
  • Support students in Calculus, Statistics, and Python Programming courses
  • Hold office hours and conduct review sessions
  • Mentor students on academic and career development

Achievements:

  • Supported 100+ students across multiple technical courses
  • Received positive feedback from students and faculty for teaching effectiveness
  • Helped students improve understanding of complex algorithms and ML concepts
  • Mentored students on career paths in software engineering and AI
PythonData AnalysisCommunicationTechnical Leadership

Software Engineer

Xoriant Solutions

full-time
Mar 2021 - Jul 2022Pune, India

Delivered enterprise cloud solutions for Fortune 500 clients through infrastructure management, automation, and team leadership.

Key Responsibilities:

  • Lead team of 4 engineers deploying enterprise applications on Azure Cloud
  • Design and build CI/CD pipelines for Kubernetes clusters
  • Implement infrastructure as code using Terraform for multi-cloud deployments
  • Gather requirements and create user stories using agile methodology
  • Collaborate with clients to deliver solutions on time

Achievements:

  • Led team deploying 16+ microservices for KPMG International on Azure using Terraform and Kubernetes
  • Designed CI/CD pipelines reducing deployment time by 50% and ensuring 99.9% uptime
  • Implemented Terraform modules for DNS, IAM, and multi-tenant deployments on GCP, reducing provisioning time by 40%
  • Managed projects using agile methodology with daily Scrums and close client collaboration
Azure CloudTerraformKubernetesDockerCI/CD PipelinesPythonAgile/ScrumTechnical Leadership

Featured Projects

Some of my best work

ai-ml

Generative AI Medical Insights SaaS

Full-stack Gen AI application reducing medical insight delivery time by 50%

Generative AILLMsRAG PipelinesAWS+4
ai-ml

Medical Conference Session Curation System

AI-powered solution reducing manual review from weeks to minutes

PythonGenerative AIData Analysis
web-app

Clinical Trial Analytics Platform

Centralized data analytics solution with 50% improvement in efficiency

SalesforceTableauOktaData Analysis
ai-ml

Protein Crystallization Optimization Platform

Cloud-based AI application reducing processing time by 50%

PythonDjangoReactAWS+1
ai-ml

Atypical Parkinsonian Disease Classifier

Deep learning model achieving 80% accuracy in disease classification

Deep LearningTensorFlowComputer VisionAzure Cloud+1
cloud

Enterprise Microservices on Azure

Scalable microservices architecture for KPMG International

Azure CloudKubernetesTerraformDocker+1

Certifications

Professional credentials and certifications

March 16, 2026

CERTIFICATE

for

AWS Certified Generative AI Developer - Professional

Validates specialized expertise in deploying enterprise-scale Generative AI solutions. Proficient in managing vector databases, building autonomous agents, and implementing security-first AI frameworks to balance high performance with cost-efficiency.

AWS Certified Generative AI Developer - Professional badge

Amazon Web Services (AWS)

Valid Until: March 16, 2028

March 16, 2026

CERTIFICATE

for

AWS Certified AI Practitioner

Proactively pursued and achieved the AWS Certified AI Practitioner certification with early adopter badge. Demonstrates expertise in AI/ML services on AWS including foundational AI concepts, generative AI, and responsible AI practices.

AWS Certified AI Practitioner badge

Amazon Web Services

AWSGenerative AILLMs
Valid Until: March 16, 2029

May 15, 2024

CERTIFICATE

for

Master of Science in Computer Science

Master's degree in Computer Science with specialization in Deep Learning. Coursework included Machine Learning, Deep Learning, Cloud Computing, Distributed Systems, Data Structures, Design and Analysis of Algorithms, and Advanced AI topics.

Pennsylvania State University

Deep LearningTensorFlowPythonAWS

Credential ID:

MS-CS-PSU-2024

February 15, 2021

CERTIFICATE

for

DevOps and Cloud Technologies

Intensive training in DevOps and Cloud Technologies including Docker, Kubernetes, Terraform, and continuous integration/deployment pipelines. Focused on automation, scalability, and cloud-based application deployment.

Professional Training Program

DockerKubernetesTerraformCI/CD Pipelines

Credential ID:

DEVOPS-2021

January 15, 2021

CERTIFICATE

for

Full Stack Web Development

Comprehensive training in Full Stack Web Development covering Angular, React, JavaScript, TypeScript, Bootstrap, and Git. Also includes foundational skills in HTML5, CSS3, database management (MongoDB and SQL), and data engineering.

Professional Training Program

ReactJavaScriptTypeScriptHTML/CSS

Credential ID:

FSWD-2021

May 15, 2020

CERTIFICATE

for

Bachelor of Engineering in Computer Engineering

Bachelor's degree in Computer Engineering with strong foundation in Software Development and Design, Android Development, Operating Systems, Computer Networks, Database Management Systems, and fundamental computer science concepts.

Pune University, India

JavaC/C++PythonSQL

Credential ID:

BE-CE-PU-2020

Education

My academic background

Master of Science

Pennsylvania State University

Computer Science

Aug 2022 - May 2024

Master's in Computer Science with specialization in Deep Learning. Conducted research on AI applications in healthcare including Atypical Parkinsonian disease classification using MRI scans (80% accuracy). Developed cloud-based protein crystallization optimization platform.

Achievements & Honors

  • Specialized in Deep Learning and AI
  • Research Assistant - AI/ML applications in healthcare
  • Developed deep learning model achieving 80% accuracy for Parkinsonian disease classification
  • Built cloud-based protein crystallization optimization platform (50% faster processing)
  • Collaboration with Penn State Health Milton S. Hershey Medical Center
  • Executed full SDLC for production AI systems

Bachelor of Engineering

Pune University

Computer Engineering

Aug 2016 - May 2020

Bachelor's degree in Computer Engineering with strong foundation in computer science fundamentals, software development, and engineering principles. Developed multiple projects including American Buddy Android app and PPE detection system.

Achievements & Honors

  • GATE 2020: All-India Rank 1388 (98.57 percentile) among 100,000+ candidates
  • Patent holder: 'Efficient Online Cloth Size Prediction and Virtual Cloth Trial Model' (Journal No. 36/2021)
  • Developed PPE Kit Detection System (95.6% mAP)
  • Created Virtual Fitting Room with 85% accuracy
  • Built American Buddy Android application
  • Strong foundation in algorithms and data structures

Achievements & Awards

Milestones and recognitions

Featured Achievements

AchievementNovember 2024

AWS Certified AI Practitioner

Amazon Web Services

Proactively pursued and achieved the AWS Certified AI Practitioner certification, also earning the early adopter badge. Demonstrates expertise in AI/ML services on AWS including foundational AI concepts, generative AI, and responsible AI practices.

Learn More
MilestoneSeptember 2024

50% Efficiency Improvement - Medical Insights

Exelixis

Architected Gen AI SaaS application that reduced medical insight delivery time by 50% through automated analysis using serverless RAG pipeline, LLMs, and vector search. Delivered measurable business impact in healthcare technology.

AchievementMay 2024

Master's Degree - Deep Learning Specialization

Pennsylvania State University

Completed M.S. in Computer Science with specialization in Deep Learning from Pennsylvania State University. Focused on advanced machine learning, deep neural networks, computer vision, and AI applications in healthcare.

PublicationMarch 2024

Research Publication - Parkinsonian Disease Classification

Penn State Health Milton S. Hershey Medical Center

Developed deep learning model for classifying Atypical Parkinsonian diseases using MRI scans, achieving 80% accuracy. Research conducted in collaboration with Penn State Health Milton S. Hershey Medical Center.

AchievementSeptember 2021

Patent Holder - Virtual Cloth Trial Model

Patent Office of India

Patent holder for 'Efficient Online Cloth Size Prediction and Virtual Cloth Trial Model,' published in the Official Journal of the Patent Office of India, Journal No. 36/2021. Innovation in garment size prediction with 85% accuracy.

Learn More
AchievementFebruary 2020

GATE 2020 - All India Rank 1388 (98.57 Percentile)

IISc Bangalore & IIT

Achieved All-India Rank 1388 with 98.57 percentile in GATE 2020, Computer Science among 100,000+ candidates. Conducted by IISc Bangalore and IIT, demonstrating strong fundamentals in computer science and engineering.

Learn More

All Achievements

Recognition

Team Leadership - KPMG Cloud Deployment

Xoriant Solutions / KPMG International

March 2022

Successfully led team of 4 engineers to deploy microservices architecture for KPMG International on Azure Cloud, provisioning 16+ services and achieving 99.9% uptime. Demonstrated technical leadership and project management skills.

Milestone

Infrastructure Automation - 40% Time Reduction

Xoriant Solutions

October 2021

Implemented Terraform modules for DNS, IAM, and IAM User Access, reducing infrastructure provisioning time by 40% on Google Cloud Platform. Optimized Dockerfile practices via Python automation, reducing image size by 35%.

Milestone

CI/CD Pipeline Optimization

Xoriant Solutions

August 2021

Designed and built CI/CD pipelines for Kubernetes clusters, automating deployment and scaling. Reduced deployment time by 50% and ensured 99.9% uptime for enterprise applications.

Achievement

DevOps & Cloud Technologies Training

Professional Training Program

February 2021

Completed intensive training in DevOps and Cloud Technologies including Docker, Kubernetes, Terraform, and CI/CD pipelines. Focused on automation, scalability, and cloud-based application deployment.

Achievement

Full Stack Web Development Training

Professional Training Program

January 2021

Completed comprehensive training in Full Stack Web Development including Angular, React, JavaScript, TypeScript, Bootstrap, Git, HTML5, CSS3, MongoDB, and SQL. Built strong foundation in modern web technologies.

Achievement

Bachelor of Engineering - Computer Engineering

Pune University, India

May 2020

Completed Bachelor of Engineering in Computer Engineering from Pune University with strong foundation in computer science fundamentals, algorithms, data structures, and software development.

Skills & Expertise

A comprehensive overview of my technical proficiencies and tools I work with daily

Ai Ml

7

Backend

8

Cloud

5

Database

8

Design

2

Devops

6

Frontend

9

Mobile

3

Security

2

Soft Skills

5

Testing

2

Tools

4

Get In Touch

Wherever you are in the world, let's work together on your next project.

Contact Information

📍

Location

San Francisco, CA

Send a Message

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