FARVEZ ANZAM
AI / GenAI Engineer
I am an AI / GenAI Engineer with over 10 years of production infrastructure experience at Thomson Reuters India Pvt Ltd, where I developed an AI-powered log analysis solution that reduced troubleshooting time by 30%. I've successfully designed and implemented advanced AI gateways and LLM infrastructure projects, optimizing model routing and cost efficiency for enterprise applications. I'm now focused on deepening my expertise as an ML / AI Engineer, advancing the capabilities of AI systems to drive innovative solutions.
Skills
Projects
Built an enterprise-style RAG system for querying large technical knowledge bases using Python, FastAPI, FAISS, Sentence Transformers, Reranking, Groq, Docker, RAGAS. Implemented document ingestion, chunking, embedding generation, vector retrieval, and LLM-based response generation. Added reranking to improve retrieval relevance and implemented caching and observability for improved performance and operational visibility.
View Source CodeAI GATEWAY / LLM GATEWAY
Designed an AI Gateway providing a centralized access layer between applications and LLM providers using Python, FastAPI, LLM APIs, Routing, Guardrails, Usage Tracking, Cost Controls. Supports application-specific API credentials and provider routing. Designed fallback routing for provider/API failures and implemented application-level daily budgets and token quotas.
AI SERVER TROUBLESHOOTER
Built an AI-assisted infrastructure troubleshooting system using Python, FastAPI, LLM, psutil, SQLite, Slack. Collected server health information using Python and psutil. Used LLM-based analysis to interpret infrastructure signals and generate troubleshooting recommendations.
AI-POWERED RESUMEPORTFOLIO PLATFORM
Built and operate an AI-powered resume-to-portfolio platform using Next.js, Supabase, OpenAI, Groq, Razorpay. Developed AI workflows for transforming resume information into personalized professional portfolios. Integrated LLM APIs for AI-powered resume and career features.
Experience
THOMSON REUTERS INDIA PVT LTD
SEP 2019 – PRESENT
Built AI-powered log analysis and troubleshooting solutions using Python, FastAPI, vector databases, and LLM APIs. Developed RAG systems for knowledge retrieval, troubleshooting, and root-cause analysis. Implemented document retrieval pipelines using embeddings, FAISS/vector search, reranking, and LLM-based response generation. Leveraged LLMs to analyze operational information, generate troubleshooting recommendations, and improve engineering productivity. Developed automation workflows using Python, Boto3, Terraform, AWS CLI, and containerized services. Designed and prototyped an AI Gateway for centralized LLM access across applications, including application-level API management, provider/API-key routing, fallback handling, token limits, budget controls, usage tracking, PII protection, and LLM guardrails. Implemented AI infrastructure concepts for multi-application LLM usage management, enabling centralized control over model consumption and application-level quotas. Worked with multiple LLM providers and APIs to understand model routing, provider fallback, token consumption, and AI application cost management. Built production-oriented AI projects involving RAG, LLM APIs, FastAPI, vector search, caching, reranking, observability, and evaluation. Managed AWS infrastructure across multiple environments supporting production workloads, focusing on reliability, security, lifecycle management, and operational efficiency. Executed AWS Lifecycle Management activities including Lambda runtime upgrades, RDS engine upgrades, ECS/EKS platform upgrades, and SageMaker notebook lifecycle refreshes. Automated AWS operations using Python, Boto3, AWS CLI, Terraform, and GitHub Actions. Automated orphan-resource cleanup, tagging enforcement, infrastructure maintenance, and cloud cost optimization. Supported provisioning and configuration using Terraform and CloudFormation. Configured and monitored AWS CloudWatch dashboards, metrics, logs, alarms, and operational monitoring. Performed end-to-end decommissioning of AWS, AMS-managed, and on-premises servers. Worked with AWS services including EC2, S3, VPC, IAM, Lambda, CloudWatch, RDS, EKS, ECS, SageMaker, EBS, CloudFormation, and CloudTrail.
SPECTRUM CONSULTANTS
SEP 2017 – SEP 2019
Installed and maintained Windows Server environments including Active Directory, DNS, and DHCP. Managed VMware ESXi hosts and virtual machines using vSphere. Supported L2/L3 infrastructure operations for development and business teams. Created and validated backup and disaster recovery strategies. Supported workload migrations into VMware environments. Reduced VM provisioning time through infrastructure standardization and automation.
SKY PRO TECHNOLOGIES
JAN 2016 – AUG 2018
Provided L1/L2 infrastructure and end-user support. Managed Active Directory users, groups, policies, and enterprise systems. Supported VMware and Hyper-V environments. Troubleshot Windows, Outlook, VPN, BitLocker, endpoint security, and networking issues. Standardized endpoint imaging and onboarding procedures.
Certifications
AWS Certified AI Practitioner
AWS Certified Solutions Architect – Associate
Education
Prasad V Potluri Siddhartha Institute of Engineering, Vijayawada
B.Tech – Electronics & Communication Engineering • 2010–2014
68.5%
Get in Touch
Interested in collaboration or just want to say hello? Feel free to reach out!