Open to opportunities

Balaram Sahu

@balaramsahu

Senior engineering leader and architect delivering cloud-native AI systems across fintech, health, and enterprise platforms.

India

Message

What I'm looking for

I’m looking for a senior architecture/engineering leadership role where I can build cloud-native, event-driven systems and integrate LLM/GenAI responsibly. I want to lead strong teams, strengthen CI/CD and security practices, and drive analytics/endpoint management impact.

I’m a Senior Engineering Leader with 14+ years designing and delivering scalable, cloud-native, AI-powered software systems across FinTech, HealthTech, Real Estate, EdTech, and Supply Chain. I focus on architecture that performs under real-world constraints, from event-driven pipelines to enterprise LLM integration.

In my current role as a Technical Architect, I lead the CAPS FinTech Payment Gateway platform, building high-throughput microservices with Kafka for fault-tolerant payment processing. I’ve integrated GenAI-powered fraud detection and anomaly scoring, and helped establish engineering practices like CI/CD standards and a consistent code-review culture for distributed teams.

Before that, as a Lead Engineer at CBRE, I built an AI-enabled, fully customized real estate SaaS platform and architected multi-market data pipelines using Azure Data Factory and Azure Functions. Earlier, as a Project Manager & Tech Lead at SuperCoder, I managed end-to-end delivery of an intelligent medical diagnosis system, combining computer vision, PyTorch-based ML/DL pipelines, and RAG with knowledge graphs.

Across my career—from Dell’s on-demand computing infrastructure to EdTech and large-scale data pipelines—I’ve consistently aligned teams around delivery outcomes, clean architecture, and measurable impact. I’m especially passionate about endpoint management, cybersecurity, and analytics, with a proven track record of leading cross-functional teams (up to 18 engineers).

Experience

Work history, roles, and key accomplishments

Current

Technical Architect

Current

Ebp-Global

Nov 2025 - Present (8 months)

Leads architecture and delivery of a high-throughput FinTech payment gateway with real-time transaction processing and settlement workflows. Designs event-driven microservices with Kafka, integrates GenAI fraud-detection modules, and ensures PCI-DSS alignment with compliance stakeholders.

C Python React Kafka AI ML GenAI ETL Pyspark Databricks LLM LlamaIndex Langsmith RAG PCI DSS Microservices

Backend Developer II

McKinsey & Company (Russell Tobbin)

Jun 2025 - Sep 2025 (3 months)

Develops core backend services for a cloud-native Storage-as-a-Service platform supporting supply chain material tracking and warehouse allocation. Builds large-scale Spark data pipelines and implements Java-based REST and event-driven APIs consumed by React dashboards.

Java Python React Apache Spark AI ML GenAI REST APIs

Lead Engineer

CBRE

Nov 2024 - Jun 2025 (7 months)

Leads a team building an AI-enabled, fully customized real estate SaaS platform for global operations. Architectures scalable modules for lease and broker/agent management and designs multi-cloud analytics pipelines using Azure Data Factory and Azure Functions.

.NET Core C Java Spring Junit xUnit Python ETL AI ML LLM Microservices Angular Jest Redis Kafka Azure Azure Data Factory Azure Key Vault Azure Functions

Project Manager & Tech Lead

SuperCoder

Aug 2024 - Nov 2024 (3 months)

Managed end-to-end delivery of an AI-driven medical diagnosis platform analyzing X-Ray, CT-SCAN, and MRI reports via computer vision. Built ML/DL pipelines (PyTorch, LoRA, RAG) and orchestrated automated ETL workflows with Airflow, deploying on Kubernetes/Helm in AWS.

Golang Python Airflow AI ML ETL Pyspark Next.js PyTorch LlamaIndex Langsmith LoRAs RAG React Redis Kafka AWS Kubernetes Helm

Senior Software Engineer

Dell Technologies

Oct 2021 - Mar 2024 (2 years 5 months)

Planned, designed, and delivered cloud-based on-demand computing infrastructure for virtualized CPU, memory, storage, and networking. Led a team of 18 engineers and implemented a pay-as-you-go billing engine and API management layer, integrating ML models for utilization prediction and auto-scaling optimization.

Golang Java C .NET Core Spring Boot Advanced C++Rust Quarkus Vert.X Next.js OCI RabbitMQ AWS Lambda TensorFlow scikit learn Keras Vue.Js Kafka Pyspark Azure PostgreSQL

Technical Leader

Learningmate Solutions

Jul 2015 - Oct 2021 (6 years 3 months)

Architected and delivered an EdTech LMS platform (QUAD) and a digital book publishing platform (FROST) integrated with LMS/LRS workflows. Introduced LLM-driven content personalization using LangChain and OpenAI GPT and supported team/platform leadership.

C ASP.NET MVC Python Django AI ML ETL Spark Advanced C++TensorFlow Angular Kafka AWS Scala PostgreSQL MSSQL MongoDB Golang Java Spring Boot React React Native Kubernetes LLM Personalization Lang Chain

Senior Software Engineer

Navsoft

Sep 2012 - Jul 2015 (2 years 10 months)

Developed real estate investment analysis tools using ML and big data (Hadoop ecosystem) for market trend prediction. Built end-to-end data pipelines using MapReduce, Hive, and Pig to process large-scale property datasets.

Python Django PHP MySQL RabbitMQ Redis Hadoop Pig Hive MapReduce HDFS AWS Android iOS Big Data Pipelines

Consultant Software Engineer

Cognizant

Oct 2011 - Sep 2012 (11 months)

Developed and validated a distributed retail information system for 7-Eleven, including credit card tracking and validation. Worked with Java/C/C++ and Oracle PL/SQL within a UNIX shell scripting environment.

Java C Shell Scripts Oracle PL SQL Distributed Systems