About Nikhil Harikrishna Anam
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About me
Passionate Engineer specializing in software development, artificial intelligence, and game development. With a strong foundation in databases and a track record of innovation, I’m dedicated to driving technological advancements in the AI and ML realm. Over three years of experience in a dynamic, fast-paced environment has honed my ability to thrive under strict deadlines and SLAs.
As a highly motivated individual, I possess a unique blend of leadership skills and technical expertise. I have a proven history of solving real-world challenges and optimizing organizational efficiency for impactful outcomes. My journey is fueled by the pursuit of innovative solutions that push the boundaries of what’s possible in AI and ML.
Let’s connect and explore how we can contribute to cutting-edge projects and drive transformative change in the AI and ML landscape.
Education
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2022 - 2024
University at Buffalo
Master of Science: Artificial Intelligence
• Secured first place at Tech Buffalo’s Hackathon.
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2016 - 2019
University of Mumbai
Bachelor of Engineering: Computer Science
• Sponsorship head at Computer Society of India (CSI), College Soccer Captain.
Experience
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2023 - 2023
University at Buffalo (SUNY), Buffalo, New York
Research Study Assistant
• Conducted comprehensive research on automating the robot to solve Rubik’s race puzzle, gaining expertise in the
dynamics of the AI Vision arm robot and the intricacies of camera calibration and tile recognition.
• Implemented AI search algorithms, including IDA* and A*, integrated with pattern databases, resulting in remarkable
accuracy ranging from 90-100%, improving the robot\’s ability to solve the puzzle.
• Gained proficiency in MLOps practices & scalable ETL pipelines, which included model development, deployment,
and optimization, facilitating the seamless deployment of AI models to edge devices.
• Led efforts to explore innovative solutions through the application of reinforcement learning algorithms, including
PPO, Agent 57, and Actor-Critic techniques. -
2019 - 2022
Larsen & Toubro Infotech Ltd. (LTI)
Machine Learning Engineer
• Implemented MLOps practices with MLflow and Docker for model tracking and container orchestration, leading to a
20% reduction in operational costs and a 15% improvement in model reliability.
• Proficiency in handling imbalanced data, and feature scaling; improved scalability and performance of the model by
improving pre-processing and inference times resulting in an 83.2% smaller model.
• Enhanced ML models with curated datasets and crafted efficient REST APIs using FastAPI. Integrated deep learning
models, cutting response time by 25%, elevating user satisfaction on the web app.
• Developed an ensemble ML model with NLP and time-series forecasting to analyze employee productivity. Processed
logs and timelines, yielding a 15% improvement in project efficiency.
• Adept at translating technical concepts for diverse teams and streamlined communication led to successful integration
of ML solutions in three cross-functional projects, enhancing inter-team collaboration.
• Designed and deployed end-to-end machine learning pipelines, utilizing TensorFlow and MLOps pipeline, achieving
scalable and maintainable production solutions.