Software Engineer @ UBS · XLRI PGDM Finance · Amazon AIdeaS 2026 Winner
Building cloud-native systems by day. Shipping AI products at night.
📍 Pune, India
Built RetainIQ — an AI-powered cloud product — and reached the finalist stage of Amazon's global AI innovation competition.
Published a detailed technical deep-dive on the AWS Builder Center.
I'm a Software Engineer at UBS Pune building cloud-native data architecture and post-trade systems on Azure — while simultaneously pursuing a PGDM in Finance from XLRI Jamshedpur.
Outside work, I'm deep in the AI builder ecosystem: automating workflows with n8n, prototyping with LangChain, and shipping products fast with AI IDEs — because the best way to understand a tool is to build something real with it.
| Role | Company | Duration | Location |
|---|---|---|---|
| Software Engineer | UBS | Aug 2024 – Present | Pune, India |
| Software Engineer Intern | UBS | Jan 2024 – Aug 2024 | Pune, India |
| Software Engineer Intern | Ford Pro | Jun 2023 – Dec 2023 | Bengaluru, India |
| ML & Android Intern | ICAR – NIAP | Jun 2022 – Aug 2022 | Delhi, India |
- Building a cloud-native data mesh architecture on Azure; developing Java and Kotlin/Spring Boot microservices for scalable data and report generation for post-trade activities
- Automated deployments with GitLab CI/CD pipelines, reducing manual effort by 50%
- Provisioned 100+ Azure resources using Terraform & Ansible templates, cutting environment setup time by 80%
- Implemented IAM-based authentication per banking security standards; enhanced reliability with Splunk & BigPanda monitoring
- Building internal tools using spec-driven AI development, improving team efficiency by 50%+
- Built microservices integrated with Azure OpenAI, Azure Search, and Databricks for intelligent document retrieval and summarisation
- Optimised data storage via ADLS Gen2, achieving 50% reduction in storage costs
- Prototyped AI-powered data access solutions as groundwork for the enterprise cloud AI and data mesh strategy
- Worked with Large Language Models to develop internal tools for streamlining bug resolution workflows
- Automated the bug reporting process; trained and deployed a conversational chatbot for internal application support
- Trained an ML model using Keras and TensorFlow to detect wheat plant diseases
- Built a user-friendly Android app integrating the ML model for field use
| # | Award | Issuer |
|---|---|---|
| 🚀 | Amazon AIdeaS 2026 Finalist — Built RetainIQ, an AI-powered cloud product | Amazon Web Services |
| 📄 | Published Research — "EfficientNet architecture and attention mechanism-based wheat disease identification model" | Procedia Computer Science, Elsevier 2024 |
| 🏆 | FOSS HACK 2020 Prize Winner — National open-source hackathon | FOSS United |
| 🏅 | Gold Certified Engineer — Highest internal technical certification | UBS |
| 🏆 | Differentiator Award — Outstanding contribution & exceptional impact | UBS |
| 🥇 | Solution Design & Coding Labs Winner — Cloud Native & GenAI tracks | UBS Internal Hackathons |
| Project | Description | Stack |
|---|---|---|
| RetainIQ | AI-powered cloud product — Amazon AIdeaS 2026 Finalist | AI, Cloud, LLMs |
| Flaura | Flower Recognition Android Application | Android, ML |
| NLP-Project | Sentiment Analysis on IMDB Dataset | Python, NLP, Jupyter |
| Degree | Institution | Year |
|---|---|---|
| PGDM — Finance (XOL Online Program) | XLRI Jamshedpur | 2025 – 2027 |
| B.Tech — Computer Science & Engineering | Shiv Nadar University | 2020 – 2024 |
- 📧 sj.samyakj@gmail.com
- 💼 linkedin.com/in/samyakj05
- 🌐 samyak.space/portfolio
- 🐙 github.com/SamyakJ05
- 🐦 @_samyakk on X
"The best way to understand a tool is to build something real with it."
Samyak Jain · Software Engineer · Pune, India · © 2026