Hi, I'm Mayank Saxena

Backend and Applied AI Engineer

Passionate about building scalable, high-performance systems and cutting-edge AI solutions. Currently leading critical services and AI initiatives at IndiaMART with expertise in Golang, Kubernetes, GCP, LLMs, and multi-agent systems. Achieved 40% transaction increase and pioneered AI-powered product automation.

40% Transaction Increase
6 AI Agents Built
24.7L Annual Cost Savings
60% P99 Response Time Reduction
AI/ML Pipeline
pipeline := NewAIMLPipeline()
  pipeline.IngestData()
  pipeline.TrainModel()
  pipeline.DeployModel(cloud=GCP)
Backend Service
service := NewBackendService()
  service.IntegrateAI(pipeline)
  service.Deploy(k8s=true)

About Me

I'm a passionate Backend Engineer and AI/ML Specialist currently working at IndiaMART Intermesh Limited, where I lead critical services and cutting-edge AI initiatives that power millions of business transactions. My expertise spans from building scalable microservices to developing advanced AI systems using LLMs and multi-agent frameworks.

At IndiaMART, I've pioneered AI-powered solutions including a Model Product Library with LLM pipelines and a Multi-Agent Lead Rejection Inference system. I've also taken ownership of the "Buyleads Display" and "Buylead Purchase" services, achieving remarkable results including a 40% increase in transactions and 55% reduction in irrelevant leads.

My technical journey spans from developing microservices in Golang to deploying AI systems on Google Cloud Platform with Vertex AI and Gemini Pro. I'm passionate about performance optimization, AI/ML integration, system architecture, and mentoring others in modern development practices.

20+
Microservices Built
6
AI Agents Deployed
100+
API Stories
2
LLM Systems

Experience

Backend Developer

IndiaMART Intermesh Limited
Mar 2022 – Present Noida, India
40% Transaction Increase 55% Fewer Irrelevant Leads 60% Faster P99 Response 24.7L Annual Savings
  • AI-Powered Product Library: Built and deployed scalable LLM-powered system for automated product specification generation using Gemini Pro and Vertex AI
  • Multi-Agent Lead Analysis: Developed 6-agent system using Google ADK framework for lead rejection inference and behavioral analysis
  • Critical Service Leadership: Managed and optimized "Buyleads Display" and "Buylead Purchase" services, driving 40% increase in transactions and 55% reduction in irrelevant leads
  • Innovative Microservice Development: Engineered 20+ microservices with 0% delay rates, enhancing product transactions and user experience
  • Infrastructure Optimization: Re-architected Buylead Display infrastructure, achieving annual cost savings of 24.7 lacs
  • Dynamic Email Integration: Implemented AMP for dynamic email content, resulting in 3.7% increase in transactions and 27% boost in click-to-consumption rates
  • Performance Optimization: Led buyleads and enquiry process, integrating 'pgx' for connection pooling, achieving 60% P99 response time reduction
  • Cloud Deployment: Successfully deployed 5+ services on Google Cloud Platform using Kubernetes
  • API Optimization: Addressed and optimized 100+ API stories, bug fixes, and software updates

Key Projects & Achievements

Model Product Library & LLM Pipeline

AI/ML • LLM Integration

Built and deployed a scalable, LLM-powered system to automate structured product specification generation for seller listings. Developed iterative LLM loops using Gemini Pro with PostgreSQL-backed pipeline tracking, batch logs, and schema-driven processing for thousands of PDFs weekly.

Golang Python PostgreSQL Vertex AI Gemini Pro GCP

Multi-Agent Lead Rejection Inference

Multi-Agent AI • Innovation

Architected and deployed 6 parallel agents using Google's ADK and LangGraph frameworks to predict seller lead rejection reasons. Orchestrated parallel reasoning pipelines with structured feature extraction from multiple CSV datasets including transactions, preferences, and catalogs.

Google ADK LangGraph Vertex AI Gemini 2.5 Pro Python Multi-Agent

Buyleads Display Service

Microservice Architecture

Led the complete re-architecture of the Buyleads Display service, achieving 40% transaction increase and 55% reduction in irrelevant leads. Implemented connection pooling with pgx, achieving 60% P99 response time reduction.

Golang Kubernetes GCP PostgreSQL

Buylead Purchase Service

Transaction Processing

Engineered high-performance transaction processing system with 0% delay rates. Implemented caching, connection pooling, locks, and multi-threading in Go for optimal scalability and efficiency.

Golang gRPC Kafka Redis

Dynamic Email Content System

Email Marketing

Implemented AMP for dynamic email content, resulting in 3.7% increase in transactions and 27% boost in click-to-consumption rates. Enhanced user engagement through personalized email experiences.

AMP PHP Python MySQL

Cloud Infrastructure Migration

DevOps & Cloud

Successfully migrated logs from RabbitMQ to Kafka and deployed 5+ services on Google Cloud Platform using Kubernetes. Achieved annual cost savings of 24.7 lacs through infrastructure optimization.

Kubernetes GCP Kafka Docker

Technical Skills

Programming Languages

Golang Python C++ PHP BASH C R

AI/ML & LLM Technologies

Google Vertex AI Gemini Pro Gemini 2.5 Pro Google ADK LangGraph Multi-Agent Systems LLM Integration Prompt Engineering

Cloud & DevOps

Google Cloud Platform Kubernetes Docker Microservices gRPC

Databases & Messaging

PostgreSQL pgx Kafka RabbitMQ MySQL

Tools & Technologies

AMP Git Visual Studio Jupyter MATLAB Mermaid.js CSV Processing

Achievements & Recognition

Employee of the Month

January 2025, August 2023

Recognized for exceptional performance and leadership in critical service optimization projects.

Best Performer of the Year

2023

Awarded for outstanding contributions to system architecture and performance optimization.

Best Performer of the Month

6 Times (2022-2024)

Consistent excellence in microservice development and infrastructure optimization.

Continuous Excellence

December 2022

Recognized for maintaining high standards in code quality and system performance.

Emerging Star of the Month

July 2022

Early recognition for demonstrating exceptional potential in backend development.

Publications & Presentations

Tech Learning Session on Micro-Service and Optimization

IndiaMART Internal Presentation

June 28, 2024

Presented advanced features and optimizations of the Buylead Display Service to enhance team knowledge and efficiency.

A Comprehensive Study on Accident Detection Approaches

IEEE Delhi Section Conference (DELCON), 2022

2022

Research paper on accident detection methodologies using computer vision and machine learning techniques.

View Paper

An Improved Procedure for Face Mask Detection using Convolution Neural Network

International Conference on Decision Aid Sciences and Applications (DASA), 2022

2022

Novel approach to face mask detection using advanced CNN architectures for public safety applications.

View Paper

Get In Touch

Let's Connect

I'm always interested in new opportunities and collaborations. Feel free to reach out if you'd like to discuss potential projects, technical challenges, or just want to say hello!