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Hi, I’m Tejeswara Srinath, an AI Engineer with 7+ years of combined software development and AI/ML experience. I specialise in designing, deploying, and optimising enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a strong focus on production reliability and scalable inference on dedicated NVIDIA data centre hardware. I excel at turning applied research into scalable, high-impact products that meet real-world performance and reliability requirements. My work spans building Multimodal RAG and Agentic AI pipelines, LoRA fine-tuning, reinforcement learning, and architecting MCP-powered orchestration for enterprise workflows.…Hi, I’m Tejeswara Srinath, an AI Engineer with 7+ years of combined software development and AI/ML experience. I specialise in designing, deploying, and optimising enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a strong focus on production reliability and scalable inference on dedicated NVIDIA data centre hardware. I excel at turning applied research into scalable, high-impact products that meet real-world performance and reliability requirements. My work spans building Multimodal RAG and Agentic AI pipelines, LoRA fine-tuning, reinforcement learning, and architecting MCP-powered orchestration for enterprise workflows.

Tejeswara Srinath

AI Engineer, Full Stack Developer, Data Scientist, +2

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Hi, I’m Tejeswara Srinath, an AI Engineer with 7+ years of combined software development and AI/ML experience. I specialise in designing, deploying, and optimising enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a strong focus on production reliability and scalable inference on dedicated NVIDIA data centre hardware. I excel at turning applied research into scalable, high-impact products that meet real-world performance and reliability requirements. My work spans building Multimodal RAG and Agentic AI pipelines, LoRA fine-tuning, reinforcement learning, and architecting MCP-powered orchestration for enterprise workflows.…Hi, I’m Tejeswara Srinath, an AI Engineer with 7+ years of combined software development and AI/ML experience. I specialise in designing, deploying, and optimising enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a strong focus on production reliability and scalable inference on dedicated NVIDIA data centre hardware. I excel at turning applied research into scalable, high-impact products that meet real-world performance and reliability requirements. My work spans building Multimodal RAG and Agentic AI pipelines, LoRA fine-tuning, reinforcement learning, and architecting MCP-powered orchestration for enterprise workflows.

Available to hire

Hi, I’m Tejeswara Srinath, an AI Engineer with 7+ years of combined software development and AI/ML experience. I specialise in designing, deploying, and optimising enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a strong focus on production reliability and scalable inference on dedicated NVIDIA data centre hardware.

I excel at turning applied research into scalable, high-impact products that meet real-world performance and reliability requirements. My work spans building Multimodal RAG and Agentic AI pipelines, LoRA fine-tuning, reinforcement learning, and architecting MCP-powered orchestration for enterprise workflows.

Skills

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Expert

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Intermediate

Work Experience

AI Engineer at Extranet Systems

March 1, 2026 - Present

Leading the architectural design, implementation, and orchestration of enterprise-grade AI systems across Generative Text, Speech, and Vision modalities, with a focus on production reliability, inference performance, and scalability. Deployed and managed NVIDIA Nemotron series models with Nemo Guardrails, delivering safe, policy-compliant LLM services for enterprise clients. Built and maintained Multimodal RAG pipelines with context handling and memory optimisation for long-horizon, multi-turn applications. Operated dedicated NVIDIA Data Centre infrastructure — NVIDIA OS, container toolkits, NIC configuration, and GPU resource management across multi-GPU clusters. Optimised model inference using vLLM, TensorRT-LLM, and Triton Inference Server. Applied LoRA fine-tuning and deep reinforcement learning techniques to adapt foundation models to domain-specific enterprise tasks. Developed Agentic AI-powered software orchestration through custom-built MCP (Model Context Protocol) servers fo

Software Developer at Extranet Systems

March 1, 2025 - March 1, 2026

Designed, developed, and deployed full-stack applications across the entire SDLC, from requirements analysis and system design through to implementation, testing, and post-production support. Built scalable, high-performance applications with clean, maintainable code architectures supporting growing user bases and complex business requirements. Collaborated with cross-functional teams (Product, UX/UI, QA, DevOps) to translate business needs into robust technical solutions delivered on schedule.

Artificial Intelligence Research Intern at truuth

February 1, 2025 - June 1, 2025

Advanced image similarity analysis and embedding-based methods for identity verification and fraud detection solutions. Built and evaluated deep learning models for computer vision, including data preprocessing and vector similarity search pipelines using vector databases.

Transformation Analyst at Zurich Insurance

July 1, 2024 - November 1, 2024

Led migration of existing infrastructure to a fully automated DevOps environment on AWS, leveraging Terraform for infrastructure-as-code. Built and maintained CI/CD pipelines (Jenkins, GitLab CI, AWS CodePipeline) automating deployments across staging and production environments. Configured monitoring and logging systems (CloudWatch, Prometheus, Grafana) for proactive issue detection and resolution. Developed and debugged internal web applications using Mendix low-code platform.

Software Developer at Vensai Technologies

November 1, 2021 - January 1, 2023

Designed and developed back-end components of web applications via Spring Boot, building RESTful APIs and data-processing services. Implemented object-oriented design patterns and optimised database queries for system performance improvements. Provided technical mentorship to junior developers on coding standards, code review practices, and best practices.

Associate – Full Stack Developer at Cognizant Technology Solutions

December 1, 2017 - November 1, 2021

Operated as key client contact for IBM, delivering full-stack solutions across front-end and back-end. Designed test-driven development solutions using Spring, Hibernate, and RESTful web services with robust CI/CD pipelines. Participated in Agile sprints, code reviews, and stakeholder requirement sessions, shipping features that met functional and technical specifications.