DATTA ANEESH THOTA

Software Engineer

Buffalo, New York, United States2 yrs 3 mos experience

Key Highlights

Expert in Full Stack Development with a focus on AI/ML.
Proven experience in developing scalable cloud solutions.
Strong background in deep learning and computer vision projects.

Stackforce AI infers this person is a Full Stack Developer specializing in AI/ML solutions for Smart City applications.

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Skills

Core Skills

Deep LearningComputer VisionFull Stack DevelopmentCloud Solutions

Other Skills

Active ListeningAmazon Web Services (AWS)Application ProgrammingAzureBack-End Web DevelopmentC (Programming Language)C++CommunicationCommunication ProtocolsComputer EngineeringComputer ScienceData StructuresDatabasesDjangoDocker

About

👋 Hi, I'm Datta Aneesh Thota. I'm a passionate Software Development Engineer currently pursuing my Master's in Computer Science, specializing in AI/ML, at SUNY Buffalo. I am building on my foundation in Computer Science and Engineering from IIIT Sricity. My journey is shaped by a commitment to developing impactful, scalable, and user-focused solutions. At Maximl, I contributed to critical projects such as the STO platform, enhancing user experience and operational efficiency through optimized backend architecture and cloud infrastructure management. My work with tools like Django, NestJS, React, Azure, Docker, Kubernetes, PostgreSQL, and CI/CD allowed me to deliver high-performance, scalable solutions. 🛠️ TOP SKILLS ARSENAL Full Stack Development & Web Application Engineering Backend & Frontend Frameworks (NestJS, NodeJS, ReactJS, ExpressJS, Django) Database Design & Management (PostgreSQL, MongoDB, MySQL) Cloud & DevOps Solutions (Microsoft Azure, Kubernetes, Docker, Gitlab CI/CD) Message Queue Management (RabbitMQ, Redis, FusionAuth) UI Libraries & Design (Material UI, Bootstrap) Microservices Architecture & API Development Continuous Integration/Continuous Deployment (CI/CD) Automation Tools & Data Pipelines (N8N, Metabase) Programming Languages: Python, C++, JavaScript, TypeScript AI/ML/DL/NLP Libraries & Frameworks: Pandas, Numpy, TensorFlow, Scikit-Learn, SpaCy, NLTK

Experience

2 yrs 3 mos

Total Experience

1 yr 2 mos

Average Tenure

1 yr 1 mo

Current Experience

University at buffalo

Research Assistant

May 2025 – Present · 1 yr 1 mo · Buffalo, New York, United States

Developing deep learning models to detect parking availability from CCTV footage under Prof. David Doermann.
Training neural networks to delineate parking spots and identify vacant vs. occupied spaces in real-time.
Implementing computer vision solutions using Python, PyTorch/TensorFlow, OpenCV, StableSR, homography techniques, and YOLO.
Building practical smart parking management systems for real-world deployment

PythonPyTorchTensorFlowOpenCVStableSRhomography techniques+3