---
title: "Vinayak Manjare - Project Lead in Pune District | Tal"
description: "Meet Vinayak Manjare, Senior Technical Architect | P2P & Sourcing | Spring Boot, Microservices & Kafka | GenAI (AWS Bedrock, LangChain, LangGraph) | MLOps & Langfuse | Saved 60% LLM Costs based in Pune District. AI stack includes antigravity, codex, and opencode."
image: "https://tal.club/meet/vinayak-manjare/share-image"
---

# Vinayak Manjare on Tal

## Headline

Senior Technical Architect \| P2P & Sourcing \| Spring Boot, Microservices & Kafka \| GenAI \(AWS Bedrock, LangChain, LangGraph\) \| MLOps & Langfuse \| Saved 60% LLM Costs

## About

I don’t just build AI; I build the architectural plumbing that makes AI enterprise\-ready\. With 15\+ years of experience in the backend trenches of BFSI, Procurement, and E\-commerce, I specialize in "future\-proofing" mission\-critical systems\. My career has been defined by a deep respect for architectural discipline and a relentless focus on fiscal responsibility\. Currently, I am at the intersection of traditional enterprise stability and modern AI innovation\. I recently led an initiative that successfully integrated GPT\-4o into a legacy ecosystem, achieving a 60% reduction in token costs through intelligent metadata caching and RAG pipeline optimization\. Why I’m a "Force Multiplier" for your Engineering Team: Production\-Grade AI: I solve the "trust" problem in AI\. I implement strict LLM guardrails and pre\-inference calculation logic to ensure 100% numerical accuracy and zero hallucinations\. Modernization Expert: I have a track record of migrating complex, fragmented microservices \(45\+\) to Java 17 and Spring Boot 3\.2, resulting in 25% lower cloud infrastructure spend\. Zero\-Trust Security: I specialize in enterprise identity management, recently spearheading a migration to Keycloak 25 to ensure global security compliance\. Data Streaming: As a Confluent Certified Data Streaming Engineer, I build the real\-time data pipelines \(Kafka/Flink\) that feed high\-performance AI models\. Technical Toolkit: AI/ML: RAG, Prompt Engineering, LLM Guardrails, OpenSearch, Vector DBs\. Backend: Java 8\-17, Spring Boot 3\.2, Jakarta EE, Kafka, Flink\. Cloud/DevOps: AWS \(Lambda, Fargate, S3\), Kubernetes \(EKS/DOKS\), CI/CD\. Security: Keycloak 25, OAuth2, JWT, Zero\-Trust Architecture\. I am a Certified ScrumMaster and AWS Certified AI Practitioner who believes in building software that is as efficient as it is innovative\. Targeting: Senior Architect or AI Platform Lead roles

## Location

Pune District

## AI stack

antigravity

codex

opencode

## Work experience

Project Lead at Persistent Systems, Mar 2023 \- Present · 3 yrs 6 mos, Pune District, Maharashtra, India, Project Overview: Led the development of a high\-performance microservices architecture using Spring Boot 3\.2 and Java 17 to dramatically enhance scalability, maintainability, and security across enterprise applications\. Key Contributions: Serverless AI Pipeline: Architected and deployed a production\-grade AWS Lambda and OpenAI \(GPT\-4o\-mini\) insight generation pipeline, scaling system efficiency while minimizing token overhead\. Dynamic Caching & Cost Optimization: Designed a multi\-condition caching layer via Amazon OpenSearch\. Implemented custom TTL logic that programmatically invalidates cached responses upon prompt version rollouts \(S3\-versioned\) or model changes, drastically reducing external LLM token spend\. AI Observability & Monitoring: Engineered an execution logging framework in OpenSearch Dashboards, enabling real\-time tracing of runtime latencies, token metrics, and granular error tracking for failed LLM requests\. Spring Boot 3\.2 Migration: Successfully modernized the core ecosystem from Spring Boot 2\.8 to 3\.2 and Java 17, capturing major performance gains, native compilation readiness, and enhanced security protocols\. Sourcing Platform & Identity Migration: Spearheaded a comprehensive procurement and supplier management platform\. Managed the migration of the core identity infrastructure from Keycloak 7 to Keycloak 23, strengthening enterprise authorization and user management\. Core Tech Stack & Architecture: Spring Boot 3\.2, Java 17, Microservices, API Gateway, Service Discovery \(Eureka\), Keycloak 23, AWS Lambda, Python, Amazon OpenSearch, Amazon S3 \(Versioning\), OpenAI API, AWS IAM \.

Founder at Manjare Fashion and Styling \(OPC\) Pvt Ltd, Oct 2022 \- Mar 2023 · 6 mos, End\-to\-End Execution: legally incorporate \(OPC\), and launch a custom D2C fashion brand from zero to live market deployment\. Full\-Stack Platform Setup: Independently handled the technical development of the Shopify e\-commerce platform, including UX customization, secure payment gateway integrations, and analytics tracking\. Supply Chain & Logistics: Personally managed the entire product lifecycle—from direct vendor sourcing and price negotiation to inventory management and final\-mile delivery logistics\. Compliance & Finance: Directly managed all corporate regulatory requirements, including GST registration, tax compliance, and financial accounting without external operational support\.

Manager at Capgemini, May 2022 \- Oct 2022 · 6 mos, India, Working for an Insurance Multinational Corporation \(MNC\) and contributing to the design of their Kubernetes cluster was an enriching and rewarding experience\. Technological Advancements: Working in an MNC allowed me to be at the forefront of technological advancements in the insurance industry\. Kubernetes, being a powerful container orchestration platform, was a crucial component in enabling the organization to scale its applications efficiently, improve resilience, and optimize resource allocation\. Scaling and High Availability: Ensuring the cluster's ability to scale and handle peak loads was a top priority\. This involved optimizing resource allocation, designing failover mechanisms, and leveraging Kubernetes' auto\-scaling capabilities\. The objective was to guarantee high availability for applications and minimize downtime, ensuring a seamless experience for end\-users\. Monitoring and Performance Optimization: Monitoring the cluster's health and performance was essential to proactively identify and address potential issues\. I worked on implementing monitoring solutions to track resource utilization, application performance, and system metrics\. This data\-driven approach allowed us to optimize the cluster's performance and improve resource utilization\. Professional Growth: The experience of working on such a significant project contributed significantly to my professional growth\. I gained a deeper understanding of Kubernetes, cloud technologies, and DevOps practices\. Additionally, collaborating with experienced colleagues provided valuable insights and improved my skills in working within large, multinational teams\. Overall, my time working for the Insurance MNC and being involved in designing their Kubernetes cluster was a valuable and fulfilling experience\. The combination of cutting\-edge technology, collaborative teamwork, and the opportunity to overcome challenges in a critical business environment made it an essential chapter in my career journey\.

SENIOR SOFTWARE ENGINEER II at HCLTech, Jun 2021 \- May 2022 · 1 yr, Pune Division, Maharashtra, India, I am part of 'HCL connections' product team, I am responsible for developing the server backend for mobile applications\.

Senior Technical Lead at HCLTech, Jun 2020 \- May 2021 · 1 yr, India, Project Lead \| Real\-Time Monitoring & Data Analytics Platform Strategic Leadership & Core Architecture\-\-> End\-to\-End Delivery: Chaired the full software development lifecycle \(SDLC\) as Project Lead, defining technical scope, setting strategic milestones, and aligning engineering deliverables with critical business objectives\. Microservices Design: Deployed a highly scalable, decoupled microservices architecture utilizing Spring Boot\. This modular framework eliminated single points of failure and isolated core domains for independent deployment and scaling Data Engineering & Pipeline Orchestration \-\-> Real\-Time Data Ingestion: Designed a high\-throughput, fault\-tolerant streaming backend using Apache Kafka\. Engineered event\-driven message queues to handle concurrent data streams with zero data loss during peak loads\. Stream Processing: Utilized the Spring Boot ecosystem to build robust data processing engines, enabling real\-time aggregation, stateful data enrichment, and high\-performance parsing of incoming telemetry data\. Distributed Metrics Collection: Architected an instrumentation layer using Telegraf agents across target environments, automating the collection of system\-level performance data including CPU, memory, and network IO\. Storage, Optimization & Monitoring \-\-> Time\-Series : Integrated InfluxDB to handle write\-heavy metric ingestion, structuring the schema for optimized data retention policies and rapid execution of complex time\-series queries\. Performance Tuning: Conducted systematic bottlenecks analysis, optimizing JVM memory management, Kafka partition strategies, and database indexing to maximize throughput and ensure low\-latency responsiveness\. Alerting : Built a proactive monitoring and alerting subsystem, empowering engineering teams with instant operational visibility\.

Professional development at Career Break, Apr 2020 \- May 2020 · 2 mos, Pune District, Maharashtra, India, Strategic Technology Focus Enterprise Architecture mastery Advanced system design implementation Modern technology stack expertise

## Education

Master of Computer Applications \(M\.C\.A\.\), Computer Applications, University of Mumbai

Bachelor of Science \(B\.Sc\.\), Physics, shivaji university, kolhapur

[View the original profile](https://tal.club/meet/vinayak-manjare)

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