Agentic AI Engineer & Backend Developer

Aditya Kanawade

Building intelligent multi-agent systems that autonomously reason, plan, and execute complex workflows. Specialized in LiteLLM, FastAPI, Django, and production-grade Agentic AI platforms.

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Career Journey

Professional Experience

Associate Software Engineer

Itanta Analytics

Feb 2024 - Present

Django Flask Gen AI Google Cloud APIs

Architected and developed an Agentic AI-powered analytics platform - a flagship product enabling autonomous data integration, analysis, and visualization through intelligent AI agents
Built multi-agent system with conversation-driven configuration agents and autonomous code-generation agents capable of reasoning, planning, and executing complex analytical workflows
Designed microservices architecture (Django orchestration, FastAPI AI server, RabbitMQ code sandbox) with sophisticated caching achieving 95% time reduction in dashboard generation
Enhanced robustness of industrial data connectors (SQL, OPC UA, MQTT) for real-time manufacturing data acquisition, improving reliability by 25% and reducing latency by 40%
Strengthened expertise in LiteLLM multi-provider integration, race strategy optimization, prompt engineering, RESTful API design, and distributed system architecture for production-grade AI applications

Featured Work

Key Projects

🏆 Global ProveIt Conference 2026

Agentic AI-Powered Analytics Platform (Multi-Agent System)

An intelligent analytics platform that transforms natural language questions into interactive dashboards and visualizations. Users simply describe what they want to analyze, and autonomous AI agents handle everything—from data integration and analysis to generating publication-ready charts. Features include real-time industrial IoT monitoring, multi-step reasoning for complex queries, intelligent caching for instant results, and 15+ dynamic visualization types. Achieved 95% time reduction in dashboard creation. Presented at Global ProveIt Conference 2026 (500+ attendees) as breakthrough innovation in Agentic AI applications.

LiteLLM Django FastAPI RabbitMQ MongoDB Python REST APIs

Product Development

Industrial Data Connectors Platform

Engineered and optimized robust data acquisition connectors for manufacturing industries, enabling seamless real-time data ingestion from SQL databases, OPC UA servers, and MQTT protocols. Improved connector reliability by 25% and reduced data latency by 40%, supporting critical production monitoring for enterprise clients.

Python SQL OPC UA MQTT Django Flask MongoDB

Academic Background

Education

Bachelor of Technology (B.Tech)

Artificial Intelligence & Data Science • CGPA: 8.7

2020 - 2024

AI & Machine Learning Data Structures & Algorithms Data Science Software Engineering

Graduated with 8.7 CGPA in Artificial Intelligence & Data Science, building expertise across AI/ML and core computer science fundamentals
Mastered data structures, algorithms, object-oriented programming, database systems, and software engineering principles alongside AI specialization
Completed advanced coursework in Deep Learning, Machine Learning, Big Data Analytics, as well as Data Structures & Algorithms, System Design, and Web Technologies
Developed diverse projects ranging from intelligent AI agents and predictive models to full-stack applications and algorithmic problem-solving

Technical Expertise

Skills & Technologies

🤖 AI & Machine Learning

Generative AI LangChain OpenAI GPT Machine Learning

💻 Backend Development

Python Django Flask FastAPI REST APIs

🗄️ Databases & Cloud

MongoDB SQL Google Cloud AWS

🛠️ Tools & Other

Git JavaScript HTML/CSS C++