Chirag Varma
Generative AI Engineer at Tata Consultancy Services
Thane
3+ years of work experience
Mar 20262 mosPresent
Mumbai, Maharashtra, India
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.
Dec 20241 yr 4 mosMar 2026
Mumbai, Maharashtra, India
Working on UIV (Unified Inventory) as part of Telkom’s OSS/MSS operations and management, focusing on network and service inventory systems that support large-scale telecom operations. My work involves managing and deploying microservices on OpenShift, Kubernetes, and Docker, developing enterprise-grade applications with Spring Boot, and ensuring smooth operations in Linux-based environments. I also leverage VMware workstation and virtualization tools. With hands-on experience across containerization, cloud-native technologies, and telecom OSS/MSS platforms, I contribute to building scalable, reliable, and automated systems that enhance operational efficiency.
Mar 20257 mosSep 2025
Mumbai, Maharashtra, India
AI Developer | Intelligent Automation & Systems Integration
AI-Driven Incident Resolution: Architected and deployed a sophisticated AI Chatbot Assistant within the CMI, integrating Generative AI with MongoDB to handle complex technical queries.
- I utilized MongoDB’s flexible document storage to manage conversational context and incident metadata, providing a high-speed, data-driven support layer.
- L1 Support Automation: Engineered an end-to-end automation strategy that successfully eliminated the repetitive manual workload of the L1 support team. By automating the initial query and diagnostic phase, the system significantly reduced human intervention and streamlined the entire incident response lifecycle.
- Intelligent Ticket Routing: Developed a logic-based automated ticket transfer system that analyzed user intent via AI to route incidents to the appropriate specialized departments. This ensured that high-priority issues reached the correct technical teams instantaneously, removing the bottlenecks associated with manual triage.
- Integrated Communication Workflows: Designed and implemented an automated mailing trigger system to close the communication loop. This integration provided real-time updates to stakeholders and users upon ticket creation, transfer, or resolution, maintaining a high level of transparency without manual oversight.
- Operational Efficiency: Transformed labor-intensive support processes into a high-efficiency digital operation.
My focus was on bridging the gap between backend database architecture and AI-driven insights to create a scalable solution that allows technical teams to focus on high-level architectural challenges rather than routine maintenance
Sep 20234 mosDec 2023
Mumbai, Maharashtra, India
Apr 20239 mosDec 2023
Maharashtra, India
Contributed to the quality assurance process of Apex Legends by actively playing early builds and providing detailed gameplay feedback via email and documentation. Focused on identifying bugs, gameplay inconsistencies, and user experience issues. Worked independently while staying aligned with the QA and development teams through regular feedback loops. This role strengthened my eye for detail, understanding of game mechanics, and appreciation for collaborative development.
Apr 20227 mosOct 2022
Remote
Created a variety of 3D models using Blender, focusing on fantasy and game-style assets such as moons, healing bottles, spell bottles, and other thematic props. Developed skills in modeling, texturing, and lighting while building a personal portfolio. This hands-on experience helped me understand the fundamentals of 3D asset creation and the creative process behind visual storytelling.
Education
Bachelor of Engineering - BE, Computer Engineering
Shah and Anchor Kutchhi Engineering College
20204 yrs2024
Student - 10th
Mahatma School of Academics & Sports Sector 8 New Panvel (West) Dist. Raigad
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