Chirag Varma

About Chirag Varma

As an Assistant System Engineer at TCS, I specialize in backend development and cloud-native solutions, with a strong command of Java (Core & Advanced) and Spring Boot for building robust RESTful APIs and enterprise-grade backend systems.Beyond backend engineering, I’ve developed practical skills with Docker, Kubernetes, and Red Hat OpenShift, enabling me to design, containerize, and orchestrate applications in modern DevOps environments. My AWS Cloud (Foundational) knowledge equips me to deliver scalable, cloud-ready solutions.Recently, I’ve been deeply exploring the exciting world of Generative AI—particularly within Oracle Cloud Infrastructure (OCI) AI Services. I’m passionate about discovering how AI can be seamlessly integrated into day-to-day enterprise workflows, from AI-powered data processing to intelligent automation and personalized customer experiences. My goal is to bridge traditional backend systems with next-gen AI capabilities to deliver smarter, more adaptive applications.I’m on a career path towards becoming a Senior Engineer, where I aim to- Architect scalable, intelligent backend systems- Mentor and guide junior engineers- Leverage GenAI & cloud-native tech to solve real-world business challenges- Contribute to high-impact, cross-functional innovation projectsTechnical Skills- Java (Core & Advanced)- Spring Boot & REST APIs- Docker, Kubernetes & OpenShift- AWS Cloud (Foundational)- Oracle Cloud Infrastructure AI Services (Vision, Language, Digital Assistant)- Generative AI concepts & integration patternsDriven by curiosity and a growth mindset, I thrive on experimenting with new tools, technologies, and AI-powered solutions—transforming complex ideas into impactful, production-ready systems

Experience

1. Machine Learning Engineer

   Tata Consultancy Services

   Mar 2026 — Present · Mumbai, IN

   As a Machine Learning Engineer specializing in fraud detection, I lead the development of sophisticated predictive models designed to safeguard complex product ecosystems against evolving threats. My work is centered on the end-to-end lifecycle of model creation, where I adapt and optimize diverse data structures to manage high-velocity, heterogeneous data streams. By engineering custom pipelines that transform raw transactional logs into feature-rich datasets, I ensure that our models are built on a foundation of high-signal intelligence. This focus on \"data excellence\" allows for the implementation of precise fraud detection logic that maintains a delicate balance: maximizing the capture of bad actors while minimizing friction for legitimate users.Beyond standard model deployment, I focus on the creative adaptation of algorithms to achieve what I call \"the perfect fraud detection\" framework. This involves fine-tuning a hybrid suite of supervised and unsupervised learning techniques—ranging from Gradient Boosted Decision Trees for risk scoring to advanced clustering for anomaly detection. I take a deep dive into the algorithmic architecture of each project, tailoring logic to identify specific fraud signatures like account takeovers or synthetic identity patterns. By continuously iterating on these models and optimizing the underlying data manipulation processes, I build scalable, real-time defense systems that are resilient enough to adapt to the shifting tactics of modern fraud.

Education

• Shah And Anchor Kutchhi Engineering College

  Bachelor of Engineering - BE, Computer Engineering

• Mahatma Junior College of Science, Arts and Commerce , New Panvel (West), Raigad

  Student - 12th, Computer Science

• Mahatma School of Academics & Sports Sector 8 New Panvel (West) Dist. Raigad

  Student - 10th