Mukund Biradar - AI Engineer | Sr Python Backend Specialist | Agentic AI

Q: What languages does Mukund speak?

Mukund speaks the following languages: English (Advanced), German (Elementary) .

Q: How many years of experience does Mukund have?

Mukund has at least 11 years of experience. During this time, Mukund has worked in at least 9 different roles and for 7 different companies . The average length of individual experience is 1 year and 3 months . Note that Mukund may not have shared all experience and actually has more experience.

Q: What is Mukund's latest experience?

Mukund's most recent position is Voice AI Chatbot - Real-Time Audio Assistant .

Q: What companies has Mukund worked for in recent years?

In recent years, Mukund has worked for Deloitte , Leibniz-Rechenzentrum (LRZ) , IBM , and Intel .

Q: Which industries is Mukund most experienced in?

Mukund is most experienced in industries like Information Technology , Education , and Retail . Mukund also has some experience in Manufacturing and Professional Services .

Q: Which business areas is Mukund most experienced in?

Mukund is most experienced in business areas like Information Technology , Product Development , and Business Intelligence . Mukund also has some experience in Operations and Quality Assurance .

Q: Which industries has Mukund worked in recently?

Mukund has recently worked in industries like Information Technology , Manufacturing , and Professional Services .

Q: Which business areas has Mukund worked in recently?

Mukund has recently worked in business areas like Information Technology , Operations , and Quality Assurance .

Q: What is Mukund's education?

Mukund holds a Master in Computer Science from University of Pune .

Recommended expert

Germany

Check rate

Experience

Mar 2026 - Mar 2026

1 month

Voice AI Chatbot - Real-Time Audio Assistant

▶ Built real-time voice assistant (STT → LLM → TTS pipeline) benchmarking and evaluating multiple STT providers including faster-whisper and Azure Speech. achieved sub-3s latency, Groq API (Llama 3) with multi-turn memory - directly handling edge cases in dictation, names and passcode recognition.

Oct 2025 - Jan 2026

4 months

Frankfurt, Germany

Senior AI Engineer / LLM Developer

Deloitte

Architect and ship multi-agent AI workflows on Azure AI Foundry using a planner → manager → domain-agent hierarchy for enterprise automation across Finance Agent, Comparison agent and Operations personas.
Specialized in building AI-powered customer-facing interfaces and conversational chatbots ,integrating LLMs, RAG architectures, agentic pipelines, Celeryworker scaling, Pydantic, type annotations, Azure Blob Storage, RabbitMQ and backend APIs to deliver end-to-end digital solutions for enterprise clients.
Achieved 40% improvement in retrieval accuracy
Built and owned production-grade versioned public-facing FastAPI APIs (v1/v2) with OpenAPI/Swagger documentation, rate limiting and sub-100ms latency - integrating LLM agents, event triggers and vector databases for semantic document retrieval.
Achieved 70% database load reduction via Redis caching, query optimisation and horizontal scaling — maintaining 99.9% SLA on data services.
Implemented OAuth2/JWT authentication, role-based access control (RBAC), Redis caching and pytest automation. deployed containerised services via Docker and CI/CD pipelines on Azure/AWS.
Generative AI & LLM Built multi-agent LLM workflows on Azure AI Foundry using LangChain, RAG pipelines and vector databases for enterprise document retrieval. Delivered conversational AI interfaces with prompt engineering and LLMOps practices, achieving 40% improvement in retrieval accuracy.
Designed and operated distributed Celery task queues with Redis and RabbitMQ brokers for asynchronous background processing, worker scaling and task retry strategies across multi-tenant AI workflows.
Engineered end-to-end LLM solutions across the full stack Python, LangChain, LangGraph, Azure OpenAI, RAG, FastAPI, Docker and Kubernetes from embedding pipelines to deployed agentic workflows.

Jan 2025 - May 2025

5 months

PDF-RAG LLM System

▶ Built end-to-end RAG system: PDF ingestion → text extraction → semantic chunking → vector embeddings → natural language Q&A over custom knowledge bases.
▶ Full LLM stack with versioned REST API layer (FastAPI + OpenAPI/Swagger), LangChain orchestration, AWS-compatible vector storage - designed for developer integration and external consumption.

Apr 2023 - Jun 2024

1 year 3 months

Munich, Germany

Senior Python Developer

Leibniz-Rechenzentrum (LRZ)

Designed and maintained high-throughput ETL/ELT data pipelines for structured and unstructured data ingestion, transformation and validation across PostgreSQL and AWS S3.
Managed 5TB+ of research data on S3-compatible object storage (Minio/AWS S3), maintaining 99.9% availability with automated pipeline monitoring and alerting.
Ansible: Deployed and managed Ansible playbooks to automate log rotation collection across 20+ distributed research servers, eliminating manual SSH-based log retrieval and enabling centralised log analysis - reducing ops overhead by 60%.
Used Ansible to orchestrate package updates and configuration changes across the server fleet, ensuring consistent environment state and reducing configuration drift.
Consulted on deployment and staging strategies (Dev → Staging → Prod), defining environment parity standards and rollback procedures for containerised AI services.
Developed containerised Python microservices using FastAPI and asyncio, deployed via Docker for scalable backend systems.
↓ Reduced 70% database load reduction
Led TDD culture with pytest and Robot Framework - full unit, integration and regression test suites for REST APIs and ETL pipelines.

Jul 2022 - Feb 2023

8 months

Bengaluru, India

Python Lead

IBM

Led Python development teams delivering backend solutions and REST API integrations; authored architectural design documents and technical specifications.
↑ Built 80% reduction in manual effort
Set up CI/CD pipelines with GitHub Actions for automated build and deployment; implemented OAuth2 and JWT authentication for secure API access.
Containerised and orchestrated services using Docker and Kubernetes.

Sep 2021 - Jun 2022

10 months

Bengaluru, India

Python Consultant (Search & Data)

Intel

Configured Coveo Search integrating XML, databases, Salesforce and AWS S3 for content indexing and retrieval pipelines processing 500,000+ records monthly.
Triaged and resolved production defects, performing root-cause analysis across backend, database and integration layers.
↑ Achieved 40% improvement in search accuracy

May 2015 - Aug 2020

5 years 4 months

Beijing, China

Senior Software Engineer

Sinomonitor International

Led full-lifecycle development of a teaching platform and e-commerce site using Django and PostgreSQL.
Created and secured APIs serving internal teams and third parties, backed by multiple RDBMS backends (PostgreSQL, Oracle, MS SQL Server).
Collaborated with database engineering teams to align on schema changes, stored procedures and data quality standards.
Built ETL pipelines using Pandas and NumPy for data preprocessing, feature engineering and ML-based video analytics across 5+ source systems (Excel, MySQL, Oracle 11G/12 C, SQL Server).
Designed scalable ETL architecture reducing reporting time from hours to minutes; created Tableau and Power BI dashboards for business intelligence.

Feb 2014 - Apr 2015

1 year 3 months

Pune, India

Database Administrator

Develop Dreamz Industries

Managed Oracle and MS SQL Server databases - query optimisation, schema design and data integrity across enterprise systems.
Designed and developed application modules based on functional specifications and architectural blueprints.

May 2012 - Jan 2014

1 year 9 months

Pune, India

Database Engineer

Psystems IT Services

Designed and maintained database schemas, stored procedures and ETL scripts for data migration and reporting.
Managed Oracle 11 G R1/R2 /12 C/ RAC and Data Guard environments, overseeing Clusterware, RMAN backup/recovery, DB Tuning and tablespace optimization to ensure enterprise-grade database stability and high availability.

DocsAI – Production-Ready Document RAG System

Architected an end-to-end local RAG pipeline using FastAPI and React to perform semantic indexing and context-grounded natural language Q&A over dense PDFs and text files.
Implemented sentence-aware text chunking paired with local 'all-MiniLM-L6-v2' embeddings and self-hosted ChromaDB vector storage inside Docker volumes to eliminate external cloud costs.
Integrated the Groq API (Llama 3) using typed system guardrails to enforce source citation accuracy and mitigate LLM hallucination risks.
Configured containerized multi-service deployment with Docker Compose and designed an enterprise production migration roadmap (AWS S3, pgvector/RDS, ECS Fargate, and ALB).

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Information Technology, Education, Retail, Manufacturing, and Professional Services.

Information Technology

Education

Retail

Manufacturing

Professional Services

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Product Development, Business Intelligence, Operations, and Quality Assurance.

Information Technology

Product Development

Business Intelligence

Operations

Quality Assurance

Summary

Senior AI Engineer and Python Backend Specialist with 12+ years building production systems at scale. Currently engineering multi-agent AI workflows and RAG pipelines for Deloitte on Azure AI Foundry, achieving 40% improvement in retrieval accuracy and 70% reduction in manual processing time. Strong foundation in distributed microservices, ETL pipelines, cloud-native deployments (Azure, AWS) and infrastructure automation with Ansible. Experienced across the full ML/LLM stack - from embedding pipelines and vector databases to agent orchestration and LLMOps with a track record of shipping measurable business impact in enterprise environments.

Skills

Languages: Python (Primary), Java, Typescript, Javascript, Node.Js, Sql, Pl/Sql
Ai / Llm: Langchain, Langgraph, Azure Openai, Rag Pipelines, Prompt Engineering, Llmops, Vector Databases, Semantic Search, Multi-Agent Orchestration, Nlp, Speech-To-Text (Stt), Whisper, Audio Processing
Cloud & Devops: Azure Ai Foundry, Azure Devops, Aws, Docker, Kubernetes, Ansible, Aks (Azure Kubernetes Service), Docker Compose, Ci/Cd, Google Cloud Platform (Gcp)
Frameworks: Fastapi, Django, Flask, React, Sqlalchemy, Sqlmodel, Asyncio (Async/Await), Type Annotations, Pydantic
Agentic Dev Tools: Claude Code, Cursor, Github Copilot
Databases: Cosmosdb, Postgresql, Oracle, Ms Sql Server, Redis, Minio S3
Data Eng.: Etl/Elt Pipelines, Pandas, Numpy, Hadoop, Reverse Engineering
Apis & Sec.: Restful Apis, Public Api Design, Api Versioning, Openapi/Swagger, Rate Limiting, Microservices, Oauth2, Jwt, Postman
Testing: Tdd, Pytest, Robot Framework, Unit / Integration / Test Plan Authoring, Selenium
Automation: Ansible, Shell Scripting
Monitoring: Logging, Observability, Performance Monitoring, Debugging
Bi & Reporting: Tableau, Power Bi, Deepinsight, Interactive Data Visualization, Event Tracking, Web Analytics
Methodology: Agile (Scrum/Kanban), Jira, Azure Boards, Technical Documentation

Languages

English

Advanced

German

Elementary

Education

Oct 2009 - Jun 2011

University of Pune

Master of Computer Science · Computer Science · India

Certifications & licenses

ChatGPT Masters: AI Prompt Engineering - 16 Hours

Azure AI Foundry - hands-on enterprise deployments

Machine Learning: Generative AI, Data Analysis with Pandas

Statistics

Experience

Total positions 10

Experience in Information Technology 6 y

Avg length 1 y 1 m

Longest experience 5 y 3 m

Global Experience

Countries worked in 3 (India, Germany, China)

Primary country India

Expertise

Recent roles Voice AI Chatbot - Real-Time Audio Assistant, Senior AI Engineer / LLM Developer, PDF-RAG LLM System

Main industries Information Technology, Education, Retail

Main business areas Information Technology, Product Development, Business Intelligence

Qualifications

Highest degree Master

Certifications earned 3

Profile

Created

August 2026

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Frequently asked questions

Have questions? Find more information here.

Mukund speaks the following languages: English (Advanced), German (Elementary).

Mukund has at least 11 years of experience. During this time, Mukund has worked in at least 9 different roles and for 7 different companies. The average length of individual experience is 1 year and 3 months. Note that Mukund may not have shared all experience and actually has more experience.

Based on recent experience, Mukund would be well-suited for roles such as: Voice AI Chatbot - Real-Time Audio Assistant, Senior AI Engineer / LLM Developer, PDF-RAG LLM System.

Mukund's most recent position is Voice AI Chatbot - Real-Time Audio Assistant.

In recent years, Mukund has worked for Deloitte, Leibniz-Rechenzentrum (LRZ), IBM, and Intel.

Mukund is most experienced in industries like Information Technology, Education, and Retail. Mukund also has some experience in Manufacturing and Professional Services.

Mukund is most experienced in business areas like Information Technology, Product Development, and Business Intelligence. Mukund also has some experience in Operations and Quality Assurance.

Mukund has recently worked in industries like Information Technology, Manufacturing, and Professional Services.

Mukund has recently worked in business areas like Information Technology, Operations, and Quality Assurance.

Mukund holds a Master in Computer Science from University of Pune.

Mukund has 3 certificates. These include: ChatGPT Masters: AI Prompt Engineering - 16 Hours, Azure AI Foundry - hands-on enterprise deployments, Machine Learning: Generative AI, and Data Analysis with Pandas.

Mukund is immediately available full-time for suitable projects.

Mukund's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

To hire Mukund, click the Meet button on the profile to request a meeting and discuss your project needs.

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Experience

Voice AI Chatbot - Real-Time Audio Assistant

Senior AI Engineer / LLM Developer

Deloitte

PDF-RAG LLM System

Senior Python Developer

Leibniz-Rechenzentrum (LRZ)

Python Lead

IBM

Python Consultant (Search & Data)

Intel

Senior Software Engineer

Sinomonitor International

Database Administrator

Develop Dreamz Industries

Database Engineer

Psystems IT Services

DocsAI – Production-Ready Document RAG System

Industry Experience

Business Area Experience

Summary

Skills

Languages

Education

University of Pune

Master of Computer Science · Computer Science · India

Certifications & licenses

ChatGPT Masters: AI Prompt Engineering - 16 Hours

Azure AI Foundry - hands-on enterprise deployments

Machine Learning: Generative AI, Data Analysis with Pandas

Statistics

Experience

Global Experience

Expertise

Qualifications

Profile

Frequently asked questions

What languages does Mukund speak?

How many years of experience does Mukund have?

What roles would Mukund be best suited for?

What is Mukund's latest experience?

What companies has Mukund worked for in recent years?

Which industries is Mukund most experienced in?

Which business areas is Mukund most experienced in?

Which industries has Mukund worked in recently?

Which business areas has Mukund worked in recently?

What is Mukund's education?

Does Mukund have any certificates?

What is the availability of Mukund?

What is the rate of Mukund?

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