Akash Rane
Masters in Computer Science
About
I am Akash Rane, completing my Master's in Computer Science Degree. My professional focus is the complete data lifecycle, from initial engineering to its application in strategic decision-making.
My experience stems from a strong foundation in back-end development and data engineering. I have expertise in building robust systems to efficiently collect, process, and transmit data using Python, SQL, REST APIs, and real-time protocols like MQTT and OPC-UA.
I leverage this engineering foundation to build and deploy predictive models, using machine learning libraries (Scikit-learn, XGBoost, TensorFlow) to uncover actionable insights. I am also proficient in translating complex data into clear narratives via interactive dashboards and visualizations with tools like Grafana, Node-RED, and Power BI.
Recently, I have also been exploring Agentic AI systems, focusing on designing intelligent, autonomous agents capable of decision-making, reasoning, and tool usage to enhance automation and system adaptability. This includes experimenting with frameworks that integrate LLMs, multi-agent coordination, and data-driven workflows to build AI systems that can operate with minimal human intervention.
Whether building data pipelines, training predictive models, or developing KPI dashboards, I am driven to solve complex data problems. I am actively seeking full-time opportunities in Backend Engineering, Data Science, or Data Analytics where I can contribute this comprehensive, full-stack data expertise.
Professional Experience
Data Scientist
- Architected a video-based liveness pipeline replacing legacy static-image capture with an OpenCV engine, significantly reducing false-spoofing rejections.
- Hardened Anti-Spoofing Models by integrating the DeepFace 'yunet' backend alongside MiniFASNet, optimizing bounding-box context to differentiate legitimate users from advanced spoofing attempts.
- Built a standalone, ICAO-compliant MRZ extractor utilizing OCR heuristics, fastmrz, and stringent check-digit validation.
- Implemented robust cross-validation solving persistent decoding failures for high-resolution images by tuning preprocessing to extract AAMVA barcode payloads.
- Pioneered a sophisticated Smart ID system leveraging advanced data analytics to extract actionable intelligence from multi-dimensional healthcare datasets.
- Engineered end-to-end AI-powered data ingestion and processing frameworks in Python, enhancing the precision of automated identity validation protocols.
- Architected secure LLM-driven RAG (Retrieval-Augmented Generation) architectures to enable high-fidelity querying of hybrid medical data structures.
Software Engineer & Business Lead
- Spearheaded the creation of a high-performance Python analytics suite for industrial automation, translating raw sensor telemetry into data-driven operational insights for factory leadership.
- Orchestrated the entire development cycle of complex visualization dashboards using Node-RED and Grafana, optimizing real-time monitoring and UX for industrial stakeholders.
- Standardized IoT connectivity by implementing robust OPC-UA and MQTT communication layers, facilitating seamless real-time data flow between hardware and software ecosystems.
- Directed cross-functional on-site deployment efforts, managing full-cycle system integration, debugging, and client validation for mission-critical industrial interfaces.
- Authored impact-focused technical proposals and business cases that successfully secured government innovation grants and strategic funding.
Projects
FinStream – Real-Time Financial Analytics Platform
amex-default-prediction
kurry-kitchen
nyc-energy-forecasting
automated-factory-reports
f1-strategy-model
Technical Expertise
Machine Learning
Full-Stack & Web
Programming & Data Processing
Data Engineering & APIs
Visualization & BI Tools
Cloud & DevOps
Project Management & Collaboration
Agentic AI
Publications
Application for Real Time Object Measurement
International Journal of Advanced Research in Science, Communication and Technology
Published: Jun 2022
View PublicationAn Experimental Assessment of Deep Learning on Highway Driving
Journal of Science and Technology (National Conference on Cognitive Computing)
Published: 2021
View PublicationCertifications

5-Day AI Agents Intensive Course with Google
Kaggle · Google
Issued Nov 2025

Machine Learning Specialization
DeepLearning.AI · Coursera · Stanford CPD
Issued Jun 2025

MongoDB SQL for Pros
MongoDB
Issued Nov 2020
Python for Data Professionals in Finance
LinkedIn Learning
Issued Jan 2025

Intermediate Machine Learning
Kaggle · DeepLearning.AI
Issued Sep 2025

Intro to Machine Learning
Kaggle · DeepLearning.AI
Issued Apr 2024
INSPIRE Program Certification
Pace University
Issued Apr 2024
Ask Questions to Make Data-Driven Decisions
Issued Jan 2023
Android Development
Udemy
Issued Jan 2020

Python
Kaggle · DeepLearning.AI
Issued Jun 2023

Intro to Programming
Kaggle · DeepLearning.AI
Issued Jun 2023
Introduction to Programming Using Python
Udemy
Issued Jan 2020
