Mandar Gaikwad
Senior Software Engineer — Generative AI & Python Backend
AWS Certified AI Practitioner · Python · Django · Agentic AI · RAG · LangGraph · Bedrock
About Me
Backend Engineer & AWS Certified AI Practitioner
Senior Software Engineer with over 5 years of hands-on experience designing, architecting, and building production-grade backend systems, microservices, and scalable Python applications using Django, Flask, and REST APIs.
AWS Certified AI Practitioner with practical experience in Generative AI, LLM frameworks (LangGraph, CrewAI, AutoGen), RAG architectures, and Amazon Bedrock. I have integrated enterprise platforms such as Epicor, Augmentir, and Acerta with ETQ, optimized workflows, and deployed Dockerized cloud solutions.
AWS Certified AI Practitioner
Valid 2025 – 2028
B.Tech. Mechanical Engineering
Dr. Babasaheb Ambedkar Technological University · CGPA 7.32
Technical Skills
Technologies and frameworks I use to build scalable backend systems and AI-powered applications.
AI & LLM Frameworks
Backend & APIs
Cloud & DevOps
Databases
Domain Integrations
Experience
My professional journey in backend engineering and enterprise integrations.
- Architect and engineer Python-based backend customizations across 3–4 core enterprise quality management modules.
- Implement automated scripts and data workflows to streamline backend operational efficiency and maintain high code quality standards.
- Collaborate with global engineering teams to build and maintain secure, scalable REST API integrations supporting enterprise quality workflows.
- Integrated enterprise backend systems (Epicor, Augmentir, Acerta) using Python and ETQScript across 5–6 high-impact functional modules.
- Developed automation scripts, REST API endpoints, and microservice handlers for enterprise process automation.
- Automated backend recertification workflows and supported AWS cloud infrastructure and microservice integrations.
- Built production-ready backend features and APIs for 3 web applications using Python, Django, Flask, PostgreSQL, and AWS Lambda.
- Designed and deployed serverless AWS Lambda functions and optimized PostgreSQL database queries for high throughput.
- Maintained and scaled production backend architectures serving hundreds of thousands of active users with robust error handling and monitoring.
Featured Projects
Production web applications I helped build at Earth Solutions Pvt. Ltd.
S P Tulsian
Investment analysis platform built during my tenure at Earth Solutions. Contributed to backend features and APIs using Python, Django, PostgreSQL, and AWS Lambda for a production system serving active subscribers.
MindQoach
Coaching platform developed at Earth Solutions. Built scalable backend services with Python, Flask, PostgreSQL, and AWS infrastructure to support personal and professional growth workflows.
Latest on LinkedIn
Recent posts and articles from my LinkedIn profile.
𝗬𝗼𝘂𝗿 𝗟𝗟𝗠 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝘁𝗼𝗸𝗲𝗻𝘀 𝗮𝗴𝗮𝗶𝗻 𝗮𝗻𝗱 𝗮𝗴𝗮𝗶𝗻.
Prompt caching is a great reminder that better LLM architecture can directly translate into lower costs.
Read on LinkedIn𝚆̶𝚑̶𝚒̶𝚌̶𝚑̶ ̶𝚒̶𝚜̶ ̶𝚝̶𝚑̶𝚎̶ ̶𝚋̶𝚎̶𝚜̶𝚝̶ ̶𝙻̶𝙻̶𝙼̶?̶ What's the right LLM for the task at hand?
Cost, latency, reasoning, and accuracy matter more than parameter count alone.
Read on LinkedIn🚀 𝗧𝘂𝗲𝘀𝗱𝗮𝘆 𝗳𝗼𝗿 𝗗𝗦𝗔 | 𝗖𝗿𝗮𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗱𝗶𝗻𝗴 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄: 𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝟵. 𝗣𝗮𝗹𝗶𝗻𝗱𝗿𝗼𝗺𝗲 𝗡𝘂𝗺𝗯𝗲𝗿
Learn how to crack the coding interview with LeetCode 9. Palindrome Number in this guide.
Read on LinkedInFrequently Asked Questions
Common queries about my work and availability.
Get In Touch
Have a project in mind or want to discuss modern tech stack? Feel free to reach out!
