AI/ML Engineer & Researcher | Building Intelligent Systems for Real-World Impact
Hi, I'm Anudeep—a graduate researcher and engineer passionate about bridging cutting-edge AI/ML with real-world needs. Driven by curiosity, I love challenges that push technology from theory into practical, impactful solutions.
Work Experience
Advanced Robotics at UTSA
Computer Science Lead
Led an 8-member team building advanced autonomous navigation systems for robotics competitions. Designed and implemented simulation environments and real-time control algorithms, improving navigation accuracy by 35%. Developed computer vision and path planning solutions for fully autonomous operation. Architected and optimized the software stack for low-latency, high-stability execution and led technical workshops for junior engineers. Skills: Robotics, Computer Vision, Path Planning, Team Leadership, Simulation, C++, Python, Real-time Systems.
Medium (Remote, United States)
Technical Writer
Authoring technical articles and tutorials on AI, ML, software engineering, and C++/Python. Published guides on building LSTM neural networks from scratch, FastAPI NLP APIs, and real-world deployments. Helping 10,000+ readers learn AI/ML through clear, hands-on content. Skills: Technical Writing, AI/ML, Python, C++, API Development, Education.
The University of Texas at San Antonio
Graduate Research Assistant
- Developed and deployed cross-platform mobile applications using Flutter for iOS and Android under Dr. Akopian’s supervision, integrating Rich Communication Services (RCS). – Implemented visually distinctive, AI-driven quick reply buttons for Gemini-generated responses in Flutter apps, utilizing advanced NLP and dynamic text analysis. – Created and optimized Gemini-specific models, widgets, and utilities to parse AI responses, dynamically generating contextually relevant quick replies with custom animations, gradients, and shadows. – Enhanced responsive UI design ensuring graceful handling of different screen sizes, orientations, and interactive animated elements for improved user experience. – Experimented with NLP models, leveraging open-source Large Language Models (LLMs) and integrated RCS channels through Twilio. – Managed backend server development, AWS infrastructure configuration, and deployment, including database setup and application hosting.- Implemented visually distinctive, AI-driven quick reply buttons for Gemini-generated responses in Flutter apps, utilizing advanced NLP and dynamic text analysis - Created and optimized Gemini-specific models, widgets, and utilities to parse AI responses, dynamically generating contextually relevant quick replies with custom animations, gradients, and shadows - Enhanced responsive UI design ensuring graceful handling of different screen sizes, orientations, and interactive animated elements for improved user experience - Conducted extensive testing across diverse device configurations and edge cases to ensure robustness and functionality - Experimented with NLP models, leveraging open-source Large Language Models (LLMs) and integrated RCS channels through Twilio - Managed backend server development, AWS infrastructure configuration, and deployment, including database setup and application hosting - Identified future opportunities to incorporate machine learning for enhanced accuracy, implement user feedback mechanisms, customize themes, and perform analytics tracking
Open Source Developer
Freelance
As an active contributor to the open-source community, I work on high-profile projects across various technologies and programming languages. My contributions include enhancing documentation quality, optimizing codebases, and implementing new features. I leverage Python for scientific computing and data analysis while engaging in collaborative problem-solving with international teams. This role has allowed me to demonstrate versatility in both technical implementation and global team coordination.
Aimlytics Technologies
Python Intern
Developed fast, accurate NLP pipelines using spaCy and FastAPI, boosting keyword extraction accuracy and slashing backend response times by 40%. Built and maintained ML workflows, collaborated on product architecture, and contributed Python modules to live AI systems. Skills: Python, FastAPI, NLP, spaCy, ML Workflows, Software Development.