MANISH KUMAR - Senior Solution Architect II - Adidas

Summary

Solution Architect with 17+ years of experience building large-scale distributed systems across cloud, data engineering, and machine learning. Specializing in LLM-powered platforms, agentic systems, and RAG architectures, with hands-on experience integrating models into real-world engineering workflows. Proven expertise in leveraging tools like GitHub Copilot within GitHub ecosystems to enhance developer productivity, code generation, and CI/CD automation. Strong track record of designing and implementing AI-driven development workflows, including automated code generation, intelligent debugging, and deployment orchestration. Known for bridging architecture, implementation, and large-scale adoption of AI systems.

Overview

2027

years of professional experience

1

Certification

Work History

Senior Solution Architect II

Adidas

Gurgaon

01.2021 - Current

Leading architecture and development of real-time fraud detection and AI-driven platforms for global e-commerce systems.
Architected real-time fraud detection platform using Kafka and ML pipelines
Built scalable data processing systems using Databricks and PySpark
Designed consumer profiling and anomaly detection systems
Designed LLM-assisted fraud investigation systems for intelligent analysis
Built RAG-based knowledge platforms integrating fraud data and logs
Leveraged GitHub Copilot to accelerate development workflows, improving code quality and delivery speed
Integrated AI-assisted development practices within GitHub, enabling: Faster branch creation and code generation, Streamlined pull request and review workflows
Driving adoption of AI-powered engineering workflows, including automation of debugging, monitoring, and deployment processes
Exploring agent-based automation systems for incident management and observability
Improved fraud detection accuracy and reduced manual effort
Increased engineering productivity through AI-assisted workflows
Enabled faster release cycles and improved system observability

Senior Software Engineer

Optum (UHG)

Noida

01.2014 - 01.2021

Led data platform modernization and migration to Databricks
Built AI-Ops observability systems using predictive models
Designed event-driven alerting systems using Kafka and microservices
Delivered cloud-native solutions using AWS stack

HCL Technologies

Delivered ETL and data warehousing solutions
Built scalable backend systems and reusable frameworks
Optimized large-scale data pipelines

Wipro

Delivered ETL and data warehousing solutions
Built scalable backend systems and reusable frameworks
Optimized large-scale data pipelines

Tata Consultancy Services (TCS)

Delivered ETL and data warehousing solutions
Built scalable backend systems and reusable frameworks
Optimized large-scale data pipelines

Education

M.Tech - Data Analytics

BITS Pilani

B.Tech - Information Technology

Skills

AI / LLM Systems

LLM Integration (Gemini, Copilot,ChatGPT, open-source models)
Agentic Systems & MCP-style Architectures
RAG (Retrieval-Augmented Generation)
Prompt Engineering & Workflow Orchestration
AI-driven Developer Productivity (Copilot-enabled workflows)

Platform Engineering & DevOps

GitHub workflows & repository management
GitHub Actions for CI/CD automation
AI-assisted development using GitHub Copilot
Kubernetes, Docker, Deployment Automation

Distributed Systems & Cloud

Event-driven architecture (Kafka)
AWS (SageMaker, Glue, Kinesis, EKS), Databricks
Scalable, fault-tolerant systems

Data & ML Engineering

PySpark, Databricks, Feature Engineering
ML pipelines (clustering, anomaly detection)
Data warehousing (Teradata, Oracle, PostgreSQL)

Programming

Python, Java, Unix Shell , SQL , Perl