Headline

Gen AI - Python developer || AWS Cloud

About

Python Developer with 9+ years of experience in IT and 4+ years experience in building scalable backend systems and AI-driven applications on AWS using LLMs. Strong expertise in LLM integration, knowledge graphs (Neo4j), vector search, and AWS serverless architecture. Experienced in designing production-grade eventdriven systems with focus on scalability, security, and performance.

Location

Maharashtra

Work experience

Specialist - Cloud Engineering (Python developer - AI) at LTM (Previously LTIMindtree), Feb 2024 - Jun 2026 · 2 yrs 5 mos, Navi Mumbai, Client: Electronic Arts (EA) Title: Python developer • Designed and implemented a knowledge graph-based architecture using Neo4j to model complex entity relationships across game assets, player profiles, and content metadata, enabling rich graph traversal queries that reduced lookup latency by 40%. • Integrate LangChain to build production-grade RAG pipelines, grounding AI responses strictly in internal knowledge bases to ensure accuracy and compliance. • Designed and maintained Private REST APIs on Amazon API Gateway with resource-level IAM authorization, API key management, and Authorizers (Lambda/Cognito) to control access across internal services and external game clients. • Experience in AWS serverless patterns like API Gateway, AWS Lambda, and LangChain RAG pipelines, and Neo4j graph modeling. • Worked on AI-enabled backend systems on AWS integrating Lambda, API Gateway, RDS, S3, and Neo4j, supporting 10,000+ daily active users across scalable knowledge-driven applications

Cloud Engineer at Amazon Web Services (AWS), Sep 2021 - Jun 2023 · 1 yr 10 mos, Bengaluru, • Designed and optimized production-grade serverless architectures using Lambda, API Gateway, SQS, SNS, covering use cases from real-time event processing to RESTful microservices. • Developed reusable Python-based Lambda function patterns and secure REST API templates adopted by multiple enterprise customers to accelerate their serverless migrations. • Diagnosed and resolved complex cold start, timeout, and concurrency issues in Lambda workloads using CloudWatch Logs Insights, X-Ray distributed tracing, and custom metrics. • Resolved 130+ high-impact complex issues spanning Lambda, API Gateway, and IAM; maintained a 95%+ CSAT rating through clear root-cause analysis and actionable guidance. • Created and delivered internal technical training modules on AWS serverless best practices, covering Lambda execution model, API Gateway stages, VPC integration, and cost optimization strategies. • Evaluated and optimized Lambda-based event-driven pipelines for throughput, cost, and reliability — applying patterns such as SQS batching, Lambda Destinations, and provisioned concurrency to meet enterprisegrade SLAs. • Built and demonstrated reference serverless architectures using Lambda, API Gateway, DynamoDB, and EventBridge, serving as reusable blueprints that reduced customer time-to-production for new serverless workloads by 40%. • Collaborated with AWS service teams to escalate and reproduce customer-reported bugs, contributing to service improvements in Lambda and API Gateway. • Authored internal runbooks and customer-facing documentation for common serverless architecture patterns, reducing escalation rates for recurring issue categories by 30%. • Mentored 5+ junior engineers on AWS serverless debugging techniques, Lambda and API Gateway troubleshooting, helping them work independently within their first 60 days.

Senior Tier 3 TAC Engineer at Ribbon Communications, May 2016 - Sep 2021 · 5 yrs 5 mos, • Automated operational workflows using shell/bash/Python scripting, improving efficiency by 30%. • Provided Tier 3 support for large-scale production networking systems. • Led troubleshooting and root cause analysis for mission-critical systems. • Automated operational workflows using Python and Shell scripting, reducing manual intervention by 30% and improving team throughput for routine network provisioning and maintenance tasks. • Provided Tier 3 escalation support for large-scale production networking systems, handling critical incidents with strict SLA adherence across global enterprise and carrier customers. • Led root cause analysis (RCA) and post-incident reviews for mission-critical infrastructure, producing detailed reports and permanent fix recommendations to prevent recurrence. • Developed and maintained internal Python tools for log parsing, alarm correlation, and diagnostic data collection, cutting average troubleshooting time by 25%. • Collaborated with cross-functional teams (NOC, product engineering, QA) to triage andresolve high-severity bugs in Applications like EMS and NMS Management Systems. • Monitored performance KPIs (latency, jitter, etc) using vendor NMS tools and custom dashboards, proactively identifying degradation before customer impact. • Documented standard operating procedures (SOPs), troubleshooting guides, and knowledge base articles that reduced onboarding time for new engineers by 20%. • Developed and maintained a troubleshooting knowledge base used by the broader support team, cutting average case resolution time and serving as a go-to reference for NMS/EMS applications. • Supported software upgrade planning and execution across a fleet of 10+ customers, coordinating maintenance windows with customers and validating system health post-upgrade. • Informally mentored 5+ network engineers on EMS/NMS troubleshooting methodologies, and log analysis techniques, reducing their dependency on senior escalations within 3 months.

Project Intern at ECI Telecom, Aug 2015 - Apr 2016 · 9 mos, Airoli, Navi Mumbai, Understanding service provider technologies, L2VPN, MPLS, WAN, LAN.

Education

Bachelor of Engineering (BEng), Electronics and Telecommunication Engineering, K. J. Somaiya Institute of Technology

Intermediate, Junior High/Intermediate/Middle School Education and Teaching, Sri chaitanya