Samyak Jain
Software Engineer @UBS · Building, RetainIQ · PGDM Finance @XLRI
Building cloud-native systems by day.
Shipping AI products at night.
Won the Innovation Category at Amazon's global AI competition. Built RetainIQ - an AI-powered cloud product - and published a detailed technical article on 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.
- 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%.
- Developed Terraform and Ansible templates to provision 100+ Azure resources, reducing environment setup time by 80%.
- Implemented IAM-based authentication per banking security standards; enhanced reliability with Splunk and BigPanda monitoring.
- Currently 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 summarization.
- Optimized 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 a Machine Learning model using Keras and TensorFlow to detect wheat plant diseases.
- Built a user-friendly Android app integrating the ML model for field use.
Won the Innovation Category at Amazon's global AI competition with RetainIQ - an AI-powered cloud retention product.
Co-authored "EfficientNet architecture and attention mechanism-based wheat disease identification model."
Won the national open-source hackathon organised by FOSS United Foundation.
Awarded for engineering excellence - highest internal technical certification.
Recognized for outstanding contribution and exceptional impact on team deliverables.
Won internal hackathons for Cloud Native Solutions and GenAI tracks.
An AI-driven customer retention platform built using LangChain, Azure OpenAI, and cloud-native architecture. Won the Innovation Category at Amazon AIdeaS 2026.
Spotify music curator that analyses your liked tracks using unsupervised ML clustering to surface genre patterns and generate recommendations tailored to your taste.
More articles coming soon — follow on X or LinkedIn to get notified.
I take on a small number of freelance projects alongside my full-time work. If you need sharp engineering on any of the below, let's talk.
End-to-end AI product builds using LangChain, Azure OpenAI, and n8n - from prototype to production.
Scalable cloud-native systems with microservices, data pipelines, and infrastructure-as-code.
In-depth engineering articles and documentation that make complex systems clear and compelling.
Production-grade APIs and event-driven services - fast, testable, and ready for scale.
Eliminate manual work by connecting your tools with custom automations and event-driven flows.
Architecture reviews and AI strategy to help teams make the right technical calls early.
End-to-end web apps from MVP to production-ready, with clean architecture throughout.
Data pipelines and analytics platforms that turn raw data into reliable, queryable insights.
Automated pipelines, container orchestration, and IaC for zero-downtime deploys from day one.
I typically respond within 24 hours. Let's scope your project.