Venkatesh Pamarthi

About

Senior Software Engineer (10+ years) specializing in scalable backend systems, distributed microservices, and AI-powered applications. Experienced with system design, REST APIs, CI/CD, and cloud infrastructure on GCP, and proven ability to lead teams and productionize ML/LLM workflows with robust observability. Track record across Go-Jek, Tier Mobility, and Proximity Tech, including multi-agent AI systems and low-latency ML inference services.

Experience

• Senior Software Engineer · Proximity Tech12-01-2024

  Designed and built AI-powered backend microservices integrating LLM inference pipelines (OpenAI and Gemini APIs) for intelligent search and content summarisation, reducing manual processing time significantly. Automated CI/CD build and deployment pipelines using GitHub Actions and GCP Cloud Build, including custom alerting to improve release reliability and speed. Developed production services using NestJS, FastAPI, Python, Docker, and GCP following REST API and microservices architecture best practices. Authored technical documentation and engineering roadmaps to support cross-functional team alignment. Key Project: JioStar AI Media Studio (JAMS) Architected a scalable Role-Based Access Control (RBAC) system enabling secure multi-stage script approval workflows for micro-drama content generation, significantly reducing manual review overhead and improving content governance.

• Senior Software Engineer (continued) — Key Project Details · Proximity Tech12-01-2024

  Designed and implemented a dual-model AI image and video generation pipeline using LangGraph, orchestrating multi-model workflows across Veo and SeedDance; achieved 80% improvement in generation latency through dynamic model routing and parallel execution. Architected an async ML generation pipeline using Google Pub/Sub, decoupling the application and inference layers; implemented polling APIs with retries and SLA-based rate limiting, improving system stability and enabling independent scaling of workloads. Enabled end-to-end distributed tracing across application and ML pods using OpenTelemetry, improving observability and debuggeability of async generation workflows across the platform. Key Project: ESPN CricInfo — AI Insights Engine Designed and shipped a production multi-agent AI system using agentic AI architecture with 9 specialised autonomous agents (Google Gemini) running in parallel to generate real-time cricket match insights for ESPN CricInfo. Implemented a multi-agent orchestration layer decomposing match analysis into specialist domains — Historical Performance, Live Match State, Venue Analysis, Head-to-Head, and Milestone Tracking — with each agent operating independently and concurrently. Built an inter-agent validation loop where dedicated AI Validator Agents cross-verify outputs from peer agents against source data, significantly reducing LLM hallucinations in production-published content. Implemented an autonomous Editorial Filtering Agent applying quality thresholds to curate final insights, and an Insight Classification Agent for automated taxonomy — enabling fully hands-off publishing to the CricInfo stories API. Orchestrated the full agentic pipeline on n8n with parallel execution, Merge-based state aggregation, and HTTP delivery to the live CricInfo platform, demonstrating end-to-end autonomous AI workflow design.

• Tech Lead · Tier Mobility06-01-2022 – 11-30-2023

  Led system design and deployment of distributed microservices handling millions of concurrent requests using GCP Pub/Sub and Redis caching, achieving high availability across multiple regions. Architected Kafka-based event-driven systems enabling asynchronous, high-throughput inter-service communication with fault tolerance built in. Applied distributed caching and consensus strategies across a multi-region GCP infrastructure, improving system stability and uptime. Built ML-integrated microservices for customer segmentation, working directly with data science teams to productionize models into production REST APIs. Managed and mentored a team of 5 engineers; led agile sprint planning, code reviews, and technical roadmapping.

• Senior Backend Engineer (ML Platform) · Go-Jek08-01-2019 – 06-30-2022

  Led Search Query Understanding initiative for e-commerce platform serving millions of daily active users, improving search relevance and discovery metrics. Built and maintained microservices around ML embedding models for semantic search and customer segmentation at scale using Python and FastAPI. Partnered with ML engineers to productionize search ranking and recommendation models end-to-end, from experimentation to production REST API deployment on GCP. Implemented FastAPI-based async inference service optimised for low-latency ML model serving, reducing p95 response times for recommendation APIs. Contributed to the food delivery ordering system on Google Cloud Platform, supporting high-availability distributed workloads.

• Software Applications Manager · Eros Now08-01-2018 – 08-31-2019

  Led mobile feature revamp using MVVM architecture with Android Architecture Components, improving maintainability and test coverage. Managed MongoDB NoSQL data layer integrations for media streaming features. Collaborated closely with Product and Design teams using agile processes to deliver customer-centric features on schedule.

• Mobile Application Manager · Craftsvilla09-01-2015 – 12-31-2017

  Rebuilt the entire e-commerce application from scratch on MVP architecture; grew app installs 3× and achieved a 99.7% crash-free session rate. Delivered end-to-end checkout flow, product detail pages, search, and filters; integrated a full payment system. Integrated third-party SDKs including Konotor (chat), Apsalar (mobile attribution), and CleverTap (engagement) to support marketing and retention workflows. Awarded Best Employee Performance for outstanding contribution to platform growth.

• Software Developer · Edelweiss & eClinicalWorks12-01-2013 – 08-31-2015

  Delivered software development work across financial services (Edelweiss, January–August 2015) and healthcare IT (eClinicalWorks, December 2013–January 2015) domains.

Education

• IIIT BangalorePost Graduate Diploma in Machine Learning and Artificial Intelligence, Post Graduate Diploma in Machine Learning and Artificial Intelligence

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