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Assessing your cultural and operational fit
AI Engineer
With over 3 years of experience as an AI Engineer, I specialize in bridging the gap between applied machine learning and production-ready infrastructure. My core expertise lies in designing and scaling GenAI voice agents, Vision-Language Models (VLMs), computer vision, and NLP systems. I bring a systems-level perspective to AI focusing not just on experimental models, but on how they integrate into robust, scalable architectures. I'm focused on transforming complex AI concepts into tangible, intent-driven products. I approach engineering much like my passion for cooking: building robust AI requires the right blend of precise architecture, constant fine-tuning, and creative iteration to get the final result exactly right. I am always looking for the next hard problem to solve and ways to push the boundaries of what multimodal AI can do in production.
Anil Neerukonda Institute Of Technology & Sciences
Bachelor of Technology - BTech, Mechanical Engineering
January 1, 2016 – January 1, 2020
ve.ai - the intent company
AI Engineer
August 1, 2024 – Present
Hyderabad, Telangana, India · On-site
HC Robotics
Computer Vision Engineer
December 1, 2023 – August 1, 2024
The Sparks Foundation
Data Science and Business Analytics Intern
June 1, 2022 – July 1, 2022
India
Integrated Cleanroom Technologies Limited
Trainee engineer
March 1, 2022 – September 1, 2022
Hyderabad, Telangana, India
ExcelR Solutions
Data Science Intern
February 1, 2022 – August 1, 2022
Hyderabad, Telangana, India
Machine Learning & AI
PrepInsta
June 23, 2026 – Present
Graduate Rotational Internship in Data Science and Business Analytics
The Sparks Foundation
June 23, 2026 – Present
Data Science and Business Analytics
Boston Institute of Analytics
June 23, 2026 – Present
Python for Computer Vision with OpenCV and Deep Learning
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's experience is primarily in AI and Computer Vision, with some internship exposure to Data Science. The target role is 'Data Analyst'. While there's an overlap in analytical skills, the core experience is not directly aligned with a dedicated Data Analyst role, which typically emphasizes SQL, data visualization, and business intelligence tools more heavily than the candidate's listed skills (Computer Vision, Deep Learning, PyTorch, TensorFlow). The diversity of projects is not provided, making it difficult to fully assess breadth.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the listed roles and certifications. Psychometric test results are not available.