Srushanth.AI
NVIDIA Certified Professional - Gen AI & LLMs

Srushanth Baride
AI/ML Lead & LLMOps Expert

Architecting advanced RAG systems, scaling LLM platforms on GPU-accelerated infrastructure, and managing multi-cloud environments.

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SrushanthBaride@gmail.com Hyderabad, India LinkedIn GitHub

Technical Expertise

AI/ML & LLMs

NVIDIA Gen AI Frameworks, HuggingFace, PyTorch, RAG, GraphRAG, Fine-tuning, Vertex AI.

MLOps & LLMOps

KubeFlow, MLFlow, Llama-Index, LangChain, GPU Optimization (CUDA/EKS), Model Monitoring.

Data & Cloud

GCP, AWS, Azure, BigQuery, Terraform, Docker, Kubernetes (EKS/GKE), Git Actions.

Professional Experience

June 2025 – PresentHyderabad, India

Manager

EY

  • Leading enterprise-grade AI initiatives, focusing on scalable RAG architectures and internal LLM deployment strategies.
  • Established a comprehensive AIOps readiness checklist for enterprise applications, standardizing production requirements to ensure operational excellence and reliability.
  • Spearheaded the end-to-end migration of 475 repositories from Bitbucket to GitHub, ensuring data integrity across 5,000+ branches.
  • Developed automated validation scripts for branch mapping and file-level integrity checks, reducing manual effort from ~8,850 hours to just 79 hours.
  • Achieved a productivity gain of ~1,100 workdays by creating script versions to rapidly identify and validate repositories based on predefined migration criteria.
Jan 2024 – May 2025Manchester, UK

Head of Technology

Intellithing

  • Led R&D for a natural language generation platform, integrating HuggingFace transformers to achieve superior performance and quality over OpenAI APIs.
  • Re-engineered the LLM platform and APIs, reducing development time by 95% and enhancing system robustness and maintainability.
  • Saved 80% in costs by transitioning from SageMaker to self-managed ECR/EKS endpoints, gaining increased control over deployment and monitoring.
  • Achieved an 800% reduction in deployment time and eliminated errors by streamlining GitHub CI/CD pipelines across AWS EC2 and EKS instances.
  • Designed and implemented a custom guardrail system for the LLM, significantly enhancing application reliability and security.
  • Integrated Llama-Index RouterEngine and custom query pipelines, improving response quality by 60% and enabling sophisticated RAG architectures.
Oct 2023 – Dec 2023Remote

Senior Machine Learning Consultant

IOCL

  • Achieved a 99% reduction in deployment time by implementing automated Git Actions.
  • Engineered scalable system architectures for rapid PoC delivery and stakeholder alignment.
Oct 2022 – Sept 2023London, UK

MLOps Engineer

Deep.Meta

  • Led end-to-end Machine Learning PoC development within an accelerated 2-month timeframe, ensuring efficient delivery and alignment with project goals.
  • Developed high-accuracy time-series models using TensorFlow, Gradient Boosting, and Vertex AI to capture complex patterns in real-world datasets.
  • Orchestrated seamless deployment on GCP Cloud Run using Docker and Terraform, achieving 99.99% uptime and a 300% reduction in cloud expenditure.
  • Engineered scalable APIs with FastAPI and Flask for robust model serving and efficient communication across the application stack.
  • Streamlined deployment processes by automating infrastructure provisioning with Terraform, minimizing manual intervention and configuration risks.
Nov 2020 – Aug 2021Hyderabad, India

Senior Data Analyst

Accenture

  • Developed a business revenue prediction model using TensorFlow and Python to forecast trends and inform strategic decision-making.
  • Analyzed substantial datasets using DAX Studio and Power BI to identify hidden patterns and actionable insights.
  • Extracted and transformed data from warehouses to build modern dashboards, increasing data-driven strategy adoption across teams.
  • Collaborated with engineering teams to interpret business inquiries and access relevant data sources for complex analysis.
  • Compiled tailored monthly analytics and reporting for senior management using Power BI to drive organizational performance.
Mar 2018 – Nov 2020Chennai, India

Engineer

L&T Technology Services Ltd

  • Digitized 40,000+ construction assets by designing a C# and SQL-based system for efficient data collection, storage, and cloud-based visualization.
  • Developed CV-based Occupancy and Face Mask Detection systems using TensorFlow and Python; optimized performance via Azure GPU VMs for real-time processing.
  • Architected a remote fuel monitoring solution using Azure IoT Hub and executed ETL operations with C# and Python to deliver actionable PowerBI insights.
  • Engineered data acquisition software for factory digitalization, integrating PLCs and legacy systems with a real-time XAML and UWP desktop application.
Feb 2017 – Feb 2018Bengaluru, India

Associate Engineer

L&T Technology Services Ltd

  • Developed custom software using C++ and vendor SDKs to achieve seamless integration between VMS and SCADA systems based on client requirements.

Certifications

NVIDIA Certified Professional

Generative AI / Large Language Models (LLMs)

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