CV/Projects

Veeranjaneyulu Batthula - CV

Professional Summary

Software Development Engineer Intern candidate with strong foundations in data structures, algorithms, and object-oriented design. Hands-on experience designing and building scalable, cloud-native services, ML-backed applications, and distributed systems using Python, Java, and AWS/Azure. Proven ability to take end-to-end ownership of solutions, from design and development to deployment, monitoring, and documentation, in agile, fast-paced environments.

Professional Experience

AI/ML Automation Engineer

Bank of America, UK

September 2023 – Present

  • Proposed data processing pipelines using Python and SQL for enterprise-scale data analytics
  • Created predictive services integrated into business workflows, improving operational efficiency
  • Built end-to-end AI automation workflows integrating Azure DevOps, internal APIs, Logic Apps, and Power Automate to standardize project telemetry and reduce manual operations
  • Developed and deployed LLM-powered services (Azure OpenAI, RAG, vector search) for automated summaries, onboarding guidance, and decision support, optimizing cost per token and throughput
  • Owned observability for AI and platform workloads using Grafana, Prometheus, Thanos, ELK, and Splunk to track latency, GPU utilization, and LLM performance
  • Managed and optimized large-scale Kubernetes environments with autoscaling and GPU resource optimization for AI/ML workloads
  • Delivered executive-level insights via Power BI dashboards and ensured production reliability through end-to-end QA, validation, and post-deployment tuning

Awards & Recognition

  • Employee of the Month
  • Best Performer Award

Research Assistant

University of East London, England

October 2024 – May 2025

  • Planned and adopted algorithms for data processing and model evaluation in academic research projects
  • Wrote clean, well-documented code and comprehensive technical documentation
  • Addressed large datasets and optimized performance of data pipelines for research applications
  • Collaborated with academic and industry stakeholders to deliver reliable software solutions

AI Engineer

V2 Software Solutions

January 2020 – August 2023

  • Designed and deployed LLM-powered systems automating internal workflows and customer support, reducing manual effort and improving response accuracy
  • Collaborated with software engineering, product and business teams to define architecture, shape technical requirements and guide feature integration
  • Built scalable backend services and APIs in Python to handle high-volume traffic while ensuring performance and reliability
  • Architected distributed training and inference pipelines using Kubernetes, carefully managing GPU/CPU resources, autoscaling, and secure access controls
  • Defined and implemented MLOps practices: model versioning, continuous integration/deployment, automated testing, monitoring, and lifecycle management
  • Applied modular monolith and SOA design patterns to support long-term maintainability and allow incremental AI feature adoption across the platform
  • Integrated security best practices and responsible AI standards, including static code analysis, access control and ML-specific risk mitigation
  • Provided technical leadership, conducted design reviews, mentored engineers and acted as trusted advisors for AI strategy across teams

Technical Skills

Programming Languages

Python, PyTorch, TensorFlow, Hugging Face, Java, PowerShell, JavaScript

Software Development

RESTful APIs, Microservices Architecture, CI/CD Pipelines, Version Control (Git), Code Reviews, Agile/Scrum, Debugging, Troubleshooting, Logging, Monitoring

Cloud & Distributed Systems

AWS (EC2, S3, Lambda, IAM), Azure Cloud, Scalable & Fault-Tolerant Systems, SQL & NoSQL Databases

AI & Machine Learning

Machine Learning fundamentals, LLM-based applications, GenAI tools, Model deployment, Inference pipelines, RAG, Vector Search

AI Automation Stack

Power Automate, Power BI, Copilot Studio, Copilot Agent, Semantic Kernel

MLOps Tools

MLflow, Docker, Kubernetes, GPU utilization optimization, AI workload optimization

Observability Tools

Grafana, Prometheus, Thanos, Elasticsearch, Kibana, Splunk

Platforms & Databases

Visual Studio, Azure DevOps, SQL Server, Azure Data Lake, Power Platform, Excel-based data sources

Projects

Scalable AI-Powered Web Service

  • Architected a microservice-based backend using Python and REST APIs
  • Deployed on AWS with CI/CD pipelines and basic monitoring
  • Implemented scalable architecture to handle high-volume traffic efficiently

Automated Accessibility Analysis System

  • Established an AI-driven system to analyse website accessibility using WCAG guidelines
  • Delivered a production-ready solution with clear technical documentation
  • Automated compliance checking and reporting for accessibility standards

Certifications & Awards

Award: Recognized by Member of Parliament, Tahir Ali, Birmingham for launching Bridging Brains CIC's official website
Membership: OR Society Student Member (ID: 112029, Member since: 25/02/2025)
Mentoring: Completed Mentoring Programme at UEL with Oracle Project Leader
AWS: Cloud Practitioner - Foundational Certification
Oracle: Fusion Cloud Applications HCM Process Essentials Certified - Rel 1
MATLAB: Onramp Certifications (MATLAB, Image Processing, Deep Learning, Machine Learning)
LinkedIn Learning: Introduction to Artificial Intelligence
Microsoft & LinkedIn: Career Essentials in Generative AI
GenAI: What is Generative AI (NASBA), Ethics in the Age of Generative AI (NASBA)
Microsoft 365: Learning Microsoft 365 Copilot and Business Chat, Streamlining workflows using Microsoft Copilot
Professional Development: Generative AI: The Evolution of Thoughtful Online Search
Management: Become an AI-Powered Manager

Education

Master of Science in Computer Science

University of East London, England

2024

Bachelor of Science in Computer Science

Jawaharlal Nehru Technological University (JNTU)

2019