Hi, I'm Manikant Thakur

Sr. Architect

Senior Architect with 16.5 years of experience designing scalable, secure, and efficient cloud infrastructure solutions. Currently specializing in GenAI, RAG applications, and AI technologies while architecting innovative strategies that drive business objectives and operational excellence.

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Manikant Thakur

About Me

I'm a Senior Architect with 16.5 years of experience in cloud infrastructure, DevOps, and emerging AI technologies. Currently working in GenAI and AI teams, specializing in designing intelligent solutions including RAG applications that drive business growth and operational excellence.

Currently working at Visionet Systems as a Senior Architect in Cloud, DevOps, and CI/CD, with recent transition to the AI team. I'm applying my expertise in AWS, GCP, Azure, Azure Bicep, Docker, Kubernetes, and GenAI technologies to architect next-generation intelligent solutions. I'm passionate about leveraging cutting-edge AI technologies to solve complex enterprise challenges and drive digital transformation.

Core Skills

Click on any skill category to explore detailed technologies

Cloud & DevOps ★ Expert (8+ years)
AI & ML ● Advanced (4 years)
Programming ★ Expert (10+ years)
Security ● Advanced (5 years)

Cloud & DevOps

Expert
AWS
GCP
Azure
Docker
Kubernetes
Terraform
GitLab
Jenkins

AI & ML

Expert
GenAI
LangChain
LangGraph
Vector DB
RAG
Document AI
AI Agents
AgentVerse

Programming

Expert
Python
JavaScript
Live Coding
Code Review
ADK
A2A
Architecture
Dev Tools

Security

Advanced
Nessus
Burp Suite
Wireshark

Resume

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Experience

Jul 2024 - Present

Senior Architect - Cloud, DevOps, CI/CD & AI

Visionet Systems

  • Leading architectural decisions for cloud infrastructure, DevOps, and CI/CD practices
  • Transitioned to AI team, specializing in GenAI technologies and RAG applications
  • Expert in LangChain, LangGraph, Vector Databases, and document extraction
  • Designed and implemented RAG applications for enterprise clients
  • Architecting, designing, and developing AgentVerse - enterprise-scale AI agent platform with MCP architecture, ADK, and A2A
  • Developing vive coding and vive reviewing skills through daily use and practice - essential expertise for modern AI-based development
  • Expert in Azure Bicep for Infrastructure as Code implementations
  • Implementing AI-driven automation and best practices in cloud security
  • Mentoring teams and driving technical excellence in AI and cloud domains
Jan 2023 - 2024

Full-Time Parental Break - ML Research & Development

Personal Development & Family Care

  • Dedicated full-time to childcare responsibilities and family support
  • Acquired practical expertise in machine learning during the break
  • Developed VersaVox - Python-based ML models for audio and text transcription
  • Achieved 50% accuracy in Indic language classification
  • Open-sourced ML models for audio and text transcription tasks
Oct 2018 - Dec 2022

Lead DevOps, Infra and Tools

Slang Labs, Bengaluru

  • Optimized Docker build process, achieving 93% reduction in build time and 76% reduction in image size
  • Enhanced CI/CD processes with GitLab CI/CD, resulting in 30% reduction in deployment time
  • Implemented auto-deployment reducing manual intervention by 90%
  • Achieved 99.99% uptime for SlangInfra, improving system reliability by 20%
  • Migrated stateless microservices to Cloud Run, reducing infrastructure costs by 60%
Jan 2017 - Sep 2018

Software Engineering Lead | Principal Engineer

xcelerator, HEd Experts, Bengaluru

  • Leveraged DevOps tools (Docker, Kubernetes, AWS, GCP) to streamline infrastructure
  • Built applications with React, Phoenix Framework, Elixir, and PostgreSQL
  • Containerized entire tech stack and migrated to AWS, reducing costs by 40%
  • Led two teams with 80-90% success rate in parallel sprints
  • Implemented Keycloak-based authentication system for enhanced security
May 2015 - Jan 2017

VP Software Engineering | Senior Software Developer

Thinqbot Technologies, Bengaluru

  • Led engineering teams in cloud/IoT gateway infrastructure development
  • Implemented Contiki OS on TI's cc2538 SoC with real-time sensors/actuators
  • Designed distributed Cloud infrastructure on AWS for scalable solutions
  • Developed microservices using Python, Elasticsearch, Django, and REST API
  • Designed Ubuntu-based Gateway for hardware-cloud connectivity
Jul 2012 - Apr 2015

Software Engineer (Network Protocol)

Paxterra Solutions Inc, Bengaluru

  • Implemented SDN technologies including OpenFlow, OF-Config, and OpenFlow Notifications Framework
  • Conducted protocol mutation and DoS attacks as part of network penetration testing
  • Developed Perl and Python scripts for network security testing
Sep 2009 - Jan 2012

Network Engineer | System Admin

Kochar Tech, Kolkata

  • Configured and managed Cisco networking equipment (switches, routers, PIX firewall)
  • Conducted network cable management and performed log analysis
  • Automated OS updates for 500+ HP Mini PCs with 99% success rate
  • Expert in Windows Command Prompt and PowerShell administration
Nov 2008 - Aug 2009

L1 Technical Support Engineer

Kaizen TI Services Pvt. Ltd., Kolkata

  • Achieved resolution time of under 60 minutes for 90% of tickets
  • Proficient in Microsoft Server 2003 and Altiris Deployment Server Administration
  • Expert in Windows Group Policy and Windows Registry management

Key Projects

AgentVerse - Enterprise-Scale AI Agent Platform

August 2025 - Present

Architecting, designing, and developing AgentVerse, an enterprise-scale AI agent platform built on MCP (Model Context Protocol) architecture with ADK (Agent Development Kit) and A2A (Agent-to-Agent) communication capabilities. The solution enables organizations to deploy, manage, and orchestrate multiple AI agents for complex business workflows. Features include advanced agent communication protocols, task distribution, monitoring, ADK for rapid agent development, and scalable infrastructure for handling enterprise-level AI agent deployments with seamless A2A interactions.

Contact for Details

RAG Application Design & Implementation

2024 - Present

Designed and implemented comprehensive RAG (Retrieval-Augmented Generation) applications using LangChain, LangGraph, and Vector Databases. Built intelligent document extraction and processing systems that enable enterprise clients to leverage their data for AI-powered insights and automation. The solution includes advanced document parsing, vector embeddings, and context-aware response generation.

Contact for Details

VersaVox - ML Research & Development

Ongoing Research and Development

Developed a range of Python-based ML models, both open-source and proprietary, aimed at addressing various challenges in audio and text transcription domains. Designed open-source ML models specifically tailored for audio and text transcription tasks, achieving an accuracy rate of 50% in Indic language classification.

View on GitHub

Book a Session

Schedule a Consultation

Ready to discuss your cloud infrastructure, DevOps, or AI project? Book a session with me to explore how we can work together.

Cloud Architecture Review

30-60 minutes

Free Consultation

AI/GenAI Strategy

45-90 minutes

Free Consultation

DevOps & CI/CD

30-60 minutes

Free Consultation

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Get In Touch

Let's Connect

I'm always interested in new opportunities and exciting projects. Feel free to reach out!

Email

Available upon request

Phone

Available upon request