Hi, I'm Shubh! 👋🏻
Software Engineer
Enterprise Engineer with a Business Degree
Enterprise Engineer with 2+ years building large-scale backend systems at Oracle, now pairing that foundation with an MS in Management Information Systems to bridge engineering and business strategy.
I architect scalable 0-to-1 prototypes and full-scale solutions that turn ambiguous business challenges into shipped products.
About Me
I'm a Product Engineer bridging the gap between complex enterprise engineering & client-centric product delivery.
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 as a Forward Deployed Engineer at the intersection of enterprise systems and product strategy. I architect scalable 0-to-1 prototypes and full-scale solutions, leveraging Generative AI to translate ambiguous business challenges 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
Product Engineer
Oracle
July 2022 – July 2024
Developed & managed full-stack enterprise SaaS products for Cash Flow & Asset Liability Management operations across global banks.
Engineering Impact:
Optimized API response times by 58% (measured via Prometheus) and architected Docker-containerized backend workflows that held 99.9% production uptime on legacy microservices while integrating modern REST APIs.
Product Impact:
Acted as primary liaison across 4 cross-functional teams, translating product requirements into technical specs and leading User Acceptance Testing (UAT) that drove 30% user growth.
Feature Delivery:
Launched Pricing Margin Forecasting and Managed Rates Analysis features, turning complex JWT/XML financial data retrieval into client-facing modules with a 30% cut in latency.
Automation:
Built CI/CD scripts using Git CloudLab APIs, saving the QA team 150+ hours per sprint.
Technology Consultant Intern
PricewaterhouseCoopers (PwC)
May 2021 – July 2021
Revamped Predictive Business Analytics dashboards for Transaction Risk Management, supporting client business strategy.
Digital Transformation:
Revamped the Predictive Business Analytics dashboard for the Transaction Risk Management application, converting raw data into comprehensive graphical reports that boosted the Fraud Detection rate by 50%.
Engineering Resolution:
First intern in the cohort to lead a 7-member team task force, troubleshooting and resolving C# & ReactJS integration issues to eliminate application downtime.
Feature Innovation:
Built a Twitter Data Analytics add-on for user sentiment analysis, boosting decision speed by 30% via React, Python & Twitter APIs.
Process Improvement:
Enhanced team velocity by 15% by incorporating Agile project management tools like MS Project for effective KPI tracking.
Featured Projects
Alixa
Multi-agent voice customer service system that autonomously resolves support workflows.
- Architected a multi-agent voice customer service system to understand, analyze & make strategic account decisions, cutting human hours by 50%+.
- Built an agentic architecture for conversational tasks using tool calling across Deepgram Flux, Vapi, ElevenLabs, Node.js & PostgreSQL.
- Designed an Impact vs. Reversibility Matrix deciding which tasks the agent handles autonomously vs. routes to a human-in-the-loop, backed by evals & guardrails for regulated environments.
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.
- Engineered architecture diagrams via MermaidJS based on App Type, Usage Scale & Security Requirements.
Tohfa
AI gifting platform that reads emotion, budget & occasion to recommend the perfect gift.
- Designed an AI solution that analyzes user emotions, relationships, budget & urgency via sentiment analysis to recommend the perfect gift, spanning the full journey from selection to delivery.
- Led 80+ discovery sessions with customers to identify pain points & requirements, translating findings into business strategy.
- Shipped customer demonstrations & proof-of-concepts within a 3-week sprint to validate product-market fit through rapid prototyping.
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%.