Hi, I'm Rajesh Pandhare

Tech Lead specialized in GenAI, AI Agents & RAG

Creating intelligent systems and AI-enhanced applications that deliver substantial business value.

Get in Touch View My Work

AI/ML Expertise

GenAI, AI Agents, RAG, VectorDB

Database Specialist

DB2, MySQL, PostgreSQL, MSSQL

Full-Stack Developer

Python, C++, Streamlit, React, SQL

About Me

Senior AI/ML technology leader with over 18 years of software engineering experience specializing in generative AI, retrieval-augmented generation (RAG) and multi-agent orchestration. Proven ability to define and execute AI strategy, build high-performing teams and deliver production-grade AI solutions across industries.

Adept at converting unstructured data into actionable business insights using RAG pipelines and LLM agents. Hands-on experience deploying solutions on Google Cloud Platform (GCP), Amazon Web Services (AWS) and Microsoft Azure. Successfully delivered multiple AI/ML proof-of-concepts (POCs) that demonstrated how AI can save time and drive growth for clients.

Passionate about aligning AI roadmaps with business objectives and driving innovation within multinational enterprise environments. My expertise spans from database optimization to cutting-edge AI implementations, allowing me to bridge the gap between traditional engineering and advanced AI technologies.

Education

M.S. in Software Systems (Data Analytics)

Birla Institute of Technology & Science (BITS) WILP, Pilani

2016 - 2018

Postgraduate Diploma in Advanced Computing (C++)

Centre for Development of Advanced Computing (CDAC)

2005

BE Computers

Pune University

2004

Certifications

Internal Training in Google Cloud and Vector Database Optimization

Google Cloud Platform

IBM Certified Database Associate

IBM

February 2012

DB2 Administration

Brainbench Certification

January 2014

DB2 Programming

Brainbench Certification

January 2014

Professional Experience

2020 - Present

Tech Lead (AIML)

Kanaka Software

Defined and drove the end-to-end AI strategy for TalentPulse360, a competitive-intelligence platform built on Gemini 2.5 Pro and Vertex AI. Led cross-functional teams to design RAG pipelines, orchestrate LLM agents and deploy vector search to deliver real-time insights on the global talent market.

  • Built scalable data-ingestion pipelines and APIs to ingest, clean and transform diverse data sets while ensuring data quality, security and compliance. Deployed solutions across GCP, AWS and Azure.
  • Oversaw the architecture, design and deployment of AI-enabled web applications using Python, Streamlit and React. Utilized automated code-review agents (Copilot, Bug-Bot, Claude) to accelerate development while adhering to clean-architecture principles and Google Agent Development Kit (ADK) best practices.
  • Delivered several AI/ML POCs that showcased how generative AI and multi-agent orchestration can automate analysis, accelerate decision-making and reduce development cycles.
  • Collaborated with product managers and stakeholders to prioritize AI initiatives and align technology roadmaps with business goals. Mentored engineers on multi-agent orchestration, scalable microservice design and RAG patterns.
  • Led a cross-functional team of 10 to develop and deploy AI-driven solutions, resulting in a 50% improvement in operational efficiency and a significant reduction in costs for clients.
GenAI AI Agents RAG VectorDB Python Streamlit React GCP AWS Azure Vertex AI Gemini 2.5 Pro
2017 - 2020

Lead Application Engineer

Honeywell Process Solutions

Led terminal-automation projects for Honeywell's Advance Solutions group, delivering control systems and software for petroleum terminals. Ensured seamless integration with enterprise systems, improving operational efficiency and safety.

  • Developed technical proposals and conducted client demos; managed requirement analysis, design and implementation using C#, MS SQL, IBM DB2 and Oracle, reducing system downtime and increasing reliability.
  • Coordinated cross-site teams to deploy automation systems and maintain long-term service contracts while adhering to safety and regulatory standards. Implemented performance tuning and data-integrity measures that improved throughput and reduced maintenance costs.
C# MS SQL IBM DB2 Oracle Terminal Automation Project Management
2014 - 2017

Senior Database Administrator / Sr. DBA (Performance)

Tieto ÉVRY

Diagnosed and resolved complex performance issues by conducting root-cause analyses and delivering remediation plans, reducing incident resolution time by 30%.

  • Led L2/L3 support teams for mission-critical database services, implementing automation scripts and knowledge-sharing practices that improved efficiency and reduced manual intervention.
  • Hosted customer workshops on database health and future-proofing, earning accolades for proactive risk management and collaborative communication.
DB2 LUW Zos Mainframe Oracle MySQL Performance Tuning
2008 - 2014

Developer & Database Administrator (IBM DB2)

ACI Worldwide

Administered enterprise databases (IBM DB2, MySQL, PostgreSQL) with a focus on performance tuning, capacity planning and disaster-recovery testing to ensure data integrity and high availability.

  • Developed optimization tools and provided guidance on efficient SQL, stored procedures and complex queries, supporting financial transactions and improving system performance.
  • Managed data migrations, replication and indexing strategies, enhancing data quality and security and reducing data retrieval times.
IBM DB2 MySQL PostgreSQL Performance Architecture SQL Optimization
2005 - 2008

C++/MSSQL Developer

Honeywell

Developed device drivers for card readers, flow controllers and radar gauges, contributing to embedded firmware and test harnesses that improved system integration and performance.

  • Designed and optimized database interfaces using MSSQL and PL/SQL, improving data-acquisition software performance and reducing system latency.
  • Implemented performance tuning and database administration best practices, reducing system downtime and increasing data-retrieval efficiency.
C++ MSSQL PL/SQL Embedded Systems Device Drivers

Technical Skills

AI & Machine Learning

Generative AI 95%
AI Agents Development 90%
RAG (Retrieval Augmented Generation) 92%
Vector Databases 88%
Machine Learning 85%
Data Mining & Analytics 87%

Cloud Platforms

Google Cloud Platform (GCP) 90%
Amazon Web Services (AWS) 85%
Microsoft Azure 85%

Database Technologies

IBM DB2 98%
MySQL 95%
PostgreSQL 90%
MS SQL 92%
Oracle 88%

Programming Languages

Python 90%
NodeJS 88%
Golang 85%
C# 82%
C++ 80%

Web Development

Streamlit 92%
React 88%
Vue.js 85%
RESTful APIs 92%
Full-Stack Development 87%

Other Skills

Performance Optimization 95%
Technical Leadership 90%
Problem Solving 93%

Featured Projects

AI-Powered Server Performance Monitor

A next-level Python tool that provides real-time insights into Debian server performance during load or stress tests, going beyond typical industry standards.

Python Machine Learning DevOps Performance Analytics
View on GitHub

MacOS Finder Integration for Cursor IDE

A custom integration that enhances productivity by enabling seamless opening of files and projects in Cursor IDE directly from macOS Finder.

macOS Shell Developer Tools Automation
View on GitHub

RAG-Powered Enterprise Knowledge Base

An intelligent enterprise knowledge system using Retrieval Augmented Generation to provide accurate, context-aware responses from company documentation.

RAG Vector Database Natural Language Processing Python
Project Details

Autonomous AI Agent Framework

A modular framework for building autonomous AI agents that can perform complex tasks through tool integration, planning, and continuous learning.

AI Agents GenAI LLM Node.js
Project Details

High-Performance Query Optimizer

An advanced SQL query optimization tool that automatically identifies and rewrites inefficient queries for dramatically improved database performance.

SQL Performance Optimization DB2 Oracle
Project Details

Developer Command Cheatsheets

Contributed to collaborative cheatsheets for console commands, making complex command-line operations accessible to developers of all levels.

Markdown Documentation Developer Tools Open Source
View on GitHub

Publications & Presentations

OpenAI o1 Models Podcast

Audio insights breaking down complex AI concepts from OpenAI's revolutionary o1 models.

April 2025

Listen

IDUG EMEA Dublin 2015: DB2 Community Leader Award

Received the DB2 Community Leader Award from IBM and IDUG at the EMEA conference in Dublin.

January 25, 2015

Read Article

Presentation at IDUG Chennai

Featured speaker at the International DB2 Users Group (IDUG) conference in Chennai.

March 28, 2017

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YouDunnit Award for Customer/Stakeholder Delight

Received recognition for exceptional work in performance optimization and customer support at Tieto.

July 1, 2017

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DB2's GOT TALENT 2015 First Place Winner

Won first place in the international DB2's GOT TALENT 2015 contest sponsored by DBI Software, IDUG, KBCE, and Triton Consulting.

2015

Achievement

Rajesh is an active contributor to the AI and database communities, sharing insights on the latest technologies and best practices.

LinkedIn Articles Twitter Updates

Get In Touch

I'm always interested in discussing new projects, innovative ideas, or opportunities to be part of your team. Whether you have a question or just want to say hi, feel free to reach out!

Location

Pune, Maharashtra, India

Email

pandharerajesh@gmail.com

Employment

Tech Lead at Kanaka Software

Send Me a Message