Ajay (Arvind) Chodankar-Software Developer & AI Engineer | Python, RESTful APIs, CI/CD, DevOps
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Experience
Software Engineer & Cloud AI Developer
TANGILITY GmbH
Built Python-based AI microservices and integrations for an AEC/VR Unity-based SaaS app, focusing on LLM/VLM capabilities, retrieval-backed systems, RESTful APIs, containerized deployment, and an automation microservice for the CAD-to-Unity pipeline.
- Developed a custom Hybrid A* based algorithm in C# to simulate hospital scenarios and detect early-stage design conflicts from collision/spatial data and generate structured reports.
- Solved and automated the time-consuming problem of converting CAD files to usable Unity environments with a custom-engineered and real-time pipeline using a ZeroMQ-based communication layer to distribute workloads across multiple processes and achieve real-time performance.
- Built a Dockerized FastAPI pipeline for CAD-to-Unity automation, combining vision-based object matching, image embeddings, and precomputed metadata to automatically map CAD objects to Unity behavior scripts, assign properties, and reduce repeated AI inference calls.
- Created documentation and examples to help technical users understand, configure, and extend the AI automation pipeline.
Research Assistant – IT & Infrastructure Automation
Institut für Flugantriebe und Strömungsmaschinen, TU Braunschweig
Developed Python scripts to automate recurring non-research IT tasks, such as database updates, website content updates, and system housekeeping. Also built a full-stack internal tool to help manage institute systems and automate infrastructure deployment using Ansible.
- Reduced infrastructure deployment time by ~70% by standardizing multi-OS provisioning with Ansible across Ubuntu, Rocky Linux, and Windows, and cut manual setup effort by ~80%.
- Built Python automation scripts for recurring operations, including database updates, institute site refreshes, and system housekeeping, reducing manual intervention and configuration errors.
- Improved delivery reliability with GitLab CI/CD and Docker-based build environments, adding automated tests and repeatable build workflows for safer deployments.
- Created detailed setup and deployment documentation for tools and scripts.
Graduate Apprentice – Data Analyst
LTI - Larsen & Toubro Infotech
Completed hands-on project work in data engineering, cloud workflows, and analytics.
- Developed data-processing pipeline prototypes using PySpark, Kafka, and Hadoop for batch and streaming ingestion of structured and unstructured datasets.
- Used AWS/GCP workflows, data cleaning, and validation checks to support reliable analytics outputs and dashboard reporting in Tableau.
Autonomous Valet Parking Path Planning and Conflict Resolution System (Master Thesis)
Built an autonomous valet-parking simulation and planning stack with collision-aware routing and a clean simulator-to-planner interface.
- Developed CARLA simulator map and used CommonRoad to convert live simulation scenes into structured planning problems with routes and parking goals.
- Built real-time state sharing and conflict detection (occupancy grid, multi-vehicle sync) using ZeroMQ to flag potential path collisions and coordinate maneuvers.
- Developed a decision-making tree based on the simulation scenario.
- Implemented Hybrid A* planning and vehicle control (PID), plus logging and dynamic replanning; explored ML ideas for waypoint prediction and conflict resolution.
Cura – AI-Assisted Learning Platform
Built a full-stack AI learning platform for nursing education, enabling teachers to upload course material and students to study it through grounded Q&A, quizzes, flashcards, and avatar-based explanations.
- Developed the core web platform with user onboarding, course management, teacher uploads, student study workflows, quizzes, and flashcard features.
- Built backend services using Python, Flask, FastAPI, SQLAlchemy, and structured API models to manage users, courses, uploaded content, and AI-assisted learning interactions.
- Integrated a RAG pipeline that converts uploaded PDFs and slides into searchable knowledge, allowing students to receive answers grounded in actual course material.
- Added interactive learning features, including slide-aware retrieval, visual content matching, speech-to-text, text-to-speech, and avatar-based explanations for a more accessible study experience.
Industry Experience
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Experienced in Aerospace and Defense, Education, Information Technology, and Construction.
Business Area Experience
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Experienced in Information Technology, Research and Development, Operations, and Product Development.
Summary
M.Sc. Data Science graduate from Braunschweig University of Technology with practical experience at the intersection of AI engineering, backend development, and automation. During my studies, I joined Tangility GmbH, an AR/VR startup, after winning HealthHack 2024, where I helped develop generative AI and machine learning features to automate CAD-to-Unity workflows, speed up project delivery for stakeholders, and strengthen the company's SaaS product capabilities. In parallel, I worked as a Student Research Assistant at the Institute for Jet Propulsion and Turbomachinery, Braunschweig University of Technology, where I built Python automation tools, Ansible-based infrastructure deployment workflows, and internal software solutions to reduce manual IT tasks.
Skills
- Programming: Python, Sql, Javascript, Java, C#
- Backend & Apis: Fastapi, Flask, Pydantic, Sqlalchemy, Json, Restful Api Design
- Ai/Ml: Large Language Models (Llms), Retrieval-Augmented Generation (Rag), Embeddings, Langchain, Pytorch, Mlflow, Carla Simulator
- Architecture: Microservices, Distributed Systems, Api Gateways
- Devops & Testing: Docker, Gitlab Ci/Cd, Unit Testing, Ansible, Kubernetes
- Cloud & Data: Azure Ai Services, Gcp Data Engineering, Pyspark, Kafka, Hadoop
Languages
Education
Braunschweig University of Technology
Master's Degree · Data Science · Germany
University of Mumbai
Bachelor's Degree · Computer Engineering · India
Certifications & licenses
LBJ Big Data Bootcamp
LTI
Microsoft Azure Fundamentals (AZ-900)
Microsoft
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