Shloak Aggarwal
Senior Software Engineer & Business Analyst
M.S. Artificial Intelligence Student @ San Jose State University
About Me
I'm a Senior Software Engineer and Business Analyst with a passion for building impactful B2B SaaS products and leveraging AI/ML to solve complex problems. Currently pursuing my M.S. in Artificial Intelligence at San Jose State University with a 3.96 GPA.
With experience leading end-to-end product development from PRD to production, I've shipped 30+ features across full-stack applications using modern technologies like Next.js, React, GraphQL, Python, and PostgreSQL. I'm skilled in both technical implementation and product strategy, having authored multiple PRDs and worked closely with cross-functional stakeholders.
I'm actively involved in the AI/ML community through coursework, research projects, and participation in university clubs. I'm always excited to work on challenging projects that combine software engineering excellence with data-driven insights.
Experience
Senior Software Engineer & Business Analyst
King Children
Remote
July 2021 – January 2025
- Led end-to-end build of a B2B SaaS MVP from PRD to production using Next.js, TypeScript, GraphQL, Tailwind, Vercel, integrating with Tornado APIs; resulted in two new partnerships and demoed at Vision Expo East 2024
- Shipped 30+ new features across a React and GraphQL (Apollo) frontend and a Python, Tornado, and PostgreSQL backend. Applied SDLC methods to write tests, review code, and deploy through GitHub Actions CI/CD
- Improved reliability with 35+ Alembic/SQLAlchemy migrations to preserve data integrity and evolve schema; rebuilt the content pipeline with Strapi + AWS S3 pre-signed uploads, and maintained the production environment
- Authored 5+ PRDs after engaging with clients and cross-functional stakeholders on requirements; built a D3.js metrics dashboard that increased product-development velocity by ~10% and a webhooks automation with the Notion API that saved ~8 hours/employee/month
Research Intern
IIIT Delhi
New Delhi, India
June 2020 – June 2021
- Designed and implemented a knowledge graph (10K+ records) from university coursework data, including user profiles and time-based versioning to enable personalized learning pathways recommendations for students
Software Engineering Intern
Rocket.Chat
Remote
May 2019 – August 2019
- Created GDPR-compliant contacts sync feature for the React Native client (iOS/Android) with a Figma-designed UI, enabling rapid onboarding and driving user-base growth
Education
M.S. Artificial Intelligence
San Jose State University
San Jose, CA
January 2025 – December 2026 (expected)
- GPA: 3.96
- Relevant Coursework: Machine Learning, Data Mining, Enterprise Software Systems, AI & Data Engineering
- Activities: Artificial Intelligence / Machine Learning Club, Product Management Club, International Peer Mentor
B.Tech. Computer Science & Engineering, Minor: Economics
Indraprastha Institute of Information Technology Delhi (IIIT Delhi)
New Delhi, India
July 2017 – June 2021
Skills
Languages
Frameworks & Libraries
DevOps, Cloud & Infrastructure
Other Skills
Projects
AI-Based Enterprise Help Desk Proof-of-Concept
2025Worked with 3 peers to build an IT ticket management platform with LLM-based ticket categorization through the OpenAI API, Auth0 SSO for role-based access, AWS DynamoDB, CodePipeline, and React UI.
Predictive Modeling of Flight Delays at SFO
2025Evaluated machine learning models (Logistic Regression, Decision Tree, Random Forest, XGBoost) on 135,000+ SFO departure records, achieved highest F1 with XGBoost for predicting >15 min delays after extensive feature engineering, data leakage prevention, and exploratory analysis.
San José Animal Care Center - Data Analysis and ML Modeling
2025Analyzed 122K+ animal shelter records using machine learning (CatBoost, XGBoost) to uncover stray animal hotspots and shelter outcome predictors, enabling data-driven adoption and policy strategies.
Brain Marks - iOS App
2022Participated in an iOS Dev Happy Hour hackathon within a team of 3 to successfully create an app that organizes saved tweets into custom categories. Achieved 80 GitHub stars and remained on the App Store for 1.5 years.
Ukhi - Full Stack Project
2021Collaborated within a team of 10 to design, architect, and implement an interactive, map-based, full-stack project for an industry client; built in JavaScript using React, LeafletJS, ExpressJS, NodeJS, MongoDB, and Jest.
Get In Touch
I'm always open to discussing new opportunities, interesting projects, or just having a conversation. Feel free to reach out!