Hi, I'm Shubh! 👋🏻
Software Engineer | Product Manager
Backend Expertise with a Product Focus!
Product-Minded Software Engineer leveraging 2+ years of enterprise backend experience to build 0-to-1 AI solutions.
I combine large-scale Enterprise Systems rigor with Product Strategy to ship tools that solve real user problems.
About Me
I don't just write code; I build products that solve real-world problems.
My foundation is in Scalable Engineering.
At Oracle, I managed enterprise SaaS products handling millions of transactions. But I didn't just fix bugs, I optimized User Experience, tuning APIs to cut latency by 58% because I believe performance is the ultimate user feature.
I also focus heavily on Developer Experience.
My goal is to make building easier for architects. At Oracle, I saved 150+ hours of Dev Time per sprint by Automating testing processes to make sure Developers spend their time building features rather than completing repetitive, manual tasks.
Now, I operate at the intersection of System Design and Product Strategy. I specialize in 0-to-1 development, leveraging Generative AI to translate complex technical capabilities into intuitive, user-centric tools. I bring the technical rigor to build scalable systems and the product vision to ensure they deliver tangible business value.
Enterprise Experience
Dev Time Conserved in a Sprint
0-to-1 Feature & Product Launches
API Latency Reduced
Experience
Associate Applications Developer
Oracle Financial Services Software
July 2022 – July 2024
Engineered critical FinTech SaaS products managing global banking cash flows.
Engineering Impact:
Optimized API latency by 58% via JVM tuning and asynchronous processing, directly improving system throughput.
Product Impact:
Led User Acceptance Testing (UAT) for new forecasting modules, bridging the gap between technical implementation and business requirements to drive 30% user adoption.
Automation:
Built CI/CD scripts using Git CloudLab APIs, saving the QA team 150+ hours per sprint.
Software Engineer Intern
PricewaterhouseCoopers (PwC)
May 2021 – July 2021
Spearheaded technical development for internal data tools, focusing on integrity and actionable insights.
Digital Transformation:
Owned the end-to-end transformation of Transaction Risk Management & Fraud Detection dashboards. Evaluated technical solutions and prioritized features to visualize predictive data, improving decision-making speed by 30%.
Engineering Resolution:
Resolved critical C# / .NET integration bottlenecks to ensure 100% data integrity for downstream financial reporting.
Feature Innovation:
Engineered a custom 'Twitter Analytics' add-on, implementing sentiment analysis algorithms to scrape and visualize real-time brand perception data for clients.
Featured Projects
TechStack.Studio
Solving developer "analysis paralysis" by generating optimal tech stacks via AI.
- Architected a zero-to-one platform using LangChain & Groq to generate instant architectural blueprints from vague user prompts.
- Tech: Designed a hot-swappable LLM backend to balance token cost vs. response latency.
- Product: Validated the "Blank Canvas" problem and shipped a full-stack MVP (React/FastAPI) to solve it.
Tohfa
A customized gifting recommendation platform built from scratch.
- Led the full product lifecycle from ideation to MVP Launch.
- Conducted 80+ user interviews to define the core value proposition & Customer's JTBD (Jobs To Be Done) map.
- Engineered the scalable MVP infrastructure and managed the roadmap for a cross-functional team.
Furniture Fun
High-scale migration & dashboarding driving fast retrieval for a Furniture Sales database.
- Built a MySQL ETL script to migrate CSV datasets of over 40k records, normalizing them into a strict RDBMSschema to ensure data consistency.
- Benchmarked query performance, identifying bottlenecks in complex SQL joins. Orchestrated a migration to NoSQL (MongoDB) to optimize for read-heavy workloads.
- Abandoned rigid tables for purpose-built MongoDB documents, utilizing embedding strategies over referencing to reduce lookup latency by 35%.