Akhil Rana
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Machine Learning Engineer
As a Senior Machine Learning Engineer, I leverage my expertise in AI and Computer Science to drive innovation across various domains. My technical proficiency spans Generative AI, Machine Learning, and Deep Learning, with a particular focus on Computer Vision applications. I specialize in developing cutting-edge solutions for complex problems in fields such as Remote Sensing and Medical Image Analysis. My experience encompasses the entire ML pipeline, from data preprocessing to model deployment, with a strong emphasis on creating practical, scalable AI solutions. I have a proven track record of leading research initiatives that harness advanced machine-learning techniques to extract meaningful insights from diverse datasets. With a background in both academic research and industry applications, I bring a unique perspective to AI projects. My work often involves pushing the boundaries of what's possible with self-supervised learning methods, particularly in scenarios with limited labelled data. I'm passionate about fostering innovation in AI and always eager to explore new challenges at the intersection of machine learning and real-world applications.
RPTU Kaiserslautern-Landau
Master of Science (MSc), Artificial Intelligence
January 1, 2016 – January 1, 2018
ITM UNIVERSITY, GWALIOR
Bachelor of Technology - BTech, Computer Science
April 1, 2011 – March 1, 2015
KARL STORZ
Senior Machine Learning Engineer
November 1, 2024 – Present
Berlin, Germany · Remote
Planet
Senior Scientist | Machine Learning Engineer
March 1, 2021 – August 1, 2024
Berlin, Germany · Remote
Avira
Senior Machine Learning Researcher
October 1, 2020 – February 1, 2021
Tettnang, Baden-Württemberg, Germany
Airbus Defence and Space - Intelligence
Deep Learning / Machine Learning Engineer
September 1, 2018 – September 1, 2020
Airbus Defence and Space - Intelligence
Deep Learning Researcher
December 1, 2017 – August 1, 2018
Airbus Defence and Space - Intelligence
Machine Learning Intern
August 1, 2017 – November 1, 2017
Upwork
Deep learning/ Computer Vision / Reinforcement Learning developer
March 1, 2015 – September 1, 2020
United States
Generating Optical images of Earth from Synthetic Aperture Radar data using GANs
August 1, 2017 – June 1, 2018
This was an awesome research project, where we used radar images and trained a conditional GAN network to generate 3 channel RGB high-resolution Optical images.
BJJ Position Recognition on Videos
March 1, 2017 – November 1, 2017
- The main goal of the project was to detect different positions of Brazillian Jiu-Jitsu in a particular frame using Neural Networks. - Web API was built for frame extractions and web scraping from the video URLs using python-Django Framework. - Google's Inception V3 model was finetuned and the network was trained on our collected dataset. - Google Cloud was used for hosting the webAPi and ML-engine was used to train Inception V3. More Details- https://docs.google.com/document/d/1T5WueSLsjDRtewXa_LvCUqs5TDRhpPBqyAd8_NzLT2c/edit?usp=sharing
Introduction to AI: Key Concepts and Applications
The Johns Hopkins University
June 24, 2026 – Present
Deep Reinforcement Learning Expert
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background working with companies like Planet, Airbus, and Avira, indicating adaptability to different organizational cultures. The freelance work and personal projects demonstrate initiative and a passion for AI/ML beyond corporate roles. The focus on research and development aligns well with roles requiring innovation. However, the lack of explicit team collaboration details in descriptions makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a capacity for independent research. The freelance experience suggests adaptability and client-facing skills. However, without specific psychometric test results or interview data, a detailed assessment of stress handling, teamwork, and communication clarity in a collaborative setting is not possible.