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Applied AI Engineer | Agentic AI | Optimization Systems | Real-Time ML | Warehouse Robotics |
🚀 AI & Data Science Engineer | ML Systems | LLMs | Real-time Analytics | Robotics I’m an Algorithm Engineer specializing in AI, machine learning, and computer vision—on a mission to turn abstract ideas into real-world solutions that drive impact. 🔍 I’ve led the development of end-to-end platforms like Cartelytics AI (an LLM-powered analytics system with RAG capabilities) and an AI-driven Warehouse Execution System, both delivering up to 80% cost savings and 60% efficiency gains. Whether it's optimizing SKU logistics with Azure ML Pipelines or deploying containerized agents with real-time feedback loops, I thrive at the intersection of code, system architecture, and strategic thinking. 🤝 Beyond code, I collaborate deeply with cross-functional teams, contribute to presales engineering, and mentor junior engineers. My research partnership with Oxford University sharpened my ability to optimize algorithms for robotics and simulation in high-performance environments. 🛠️ Tools I love working with: Python, TensorFlow, PyTorch, LangChain, Azure, MLflow, Hugging Face, FastAPI, SimPy, React, Docker. 🌱 On the fun side: Enjoy blending physics and AI for creative simulations and explain complex stuff in simple way with great story telling. Let’s connect if you're into AI systems, real-time data intelligence, or building smart, scalable tech from the ground up.
Odisha University of Technology and Research
Masters
September 1, 2021 – March 1, 2023
Cartesian Kinetics Inc
AI Engineer
June 1, 2023 – Present
Bengaluru, Karnataka, India · Hybrid
Omdena
Junior ML Engineer
September 1, 2021 – November 1, 2021
Deeplearning
cognitiveclass.ai
June 25, 2026 – Present
Google Cloud
June 25, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 25, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 25, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
Cutshort Certified Data Science - Advanced
Cutshort
June 25, 2026 – Present
Triplebyte Certified
Triplebyte
June 25, 2026 – Present
Python for Everybody Specialization
University of Michigan
June 25, 2026 – Present
Machine Learning
Stanford Online
June 25, 2026 – Present
Data Structure
Coursera
June 25, 2026 – Present
Algorithmic toolbox
Coursera
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Cartesian Kinetics Inc. shows involvement in diverse projects, from EOD Replenishment models to real-time AI agents and simulation tools. This breadth, combined with collaboration across various internal and external teams, suggests adaptability and a willingness to engage in different problem domains. The target role of 'Computer Vision' aligns with their deep learning and CNN certifications, indicating a focused interest. However, the lack of diverse project types outside of AI/ML applications, or community involvement, limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate's experience description highlights collaboration with C-suite executives and pre-sales teams, indicating strong communication and stakeholder management skills. Mentoring junior engineers suggests leadership potential and a collaborative attitude. The focus on delivering efficiency gains and cost reductions demonstrates a results-oriented approach. However, without specific psychometric or English test scores, a definitive assessment of operational fit and soft skills is limited.