#opentowork
I am actively looking for opportunities in Machine Learning/Data Science/Data Engineering; availability to interview and join immediately. I have 6.5 years of industry experience in end-to-end ML working in fast paced startup environments implementing Data Science/ML projects from start to finish. I have been responsible for the entire pipeline starting from data analysis of a problem, to coming up with appropriate AI Models and writing clean production level code to deploy them. I was part of a patent as well while working in Appzen.
I'm currently working at Ouro Global as a Senior Machine Learning Engineer building data/ETL pipelines and deploying AI Models for Netspend Product.
I graduated from Electrical and Computer Engineering Department at Carnegie Mellon University, Pittsburgh in May 2018. I have specialized in Machine Learning, Deep Learning, Computer Vision and Data Science along with extensive programming experience in Python, C++ and C. I have 1 year experience(May 2017-April 2018) in data mining with MySQL and Python as part of my Research Assistantship at the prestigious Robotics Institute at Carnegie Mellon. I worked as an intern from July 2018 at Near Earth Autonomy, a startup originating from CMU Robotics Dept. My project there was based on developing computer vision solutions for agricultural applications.
I worked for 3 years in Appzen Inc. as a Data Scientist where in I worked on the full pipeline from analyzing datasets, to building AI models and writing production level code to implement it for the product. After that at Nylas Inc. as a Machine Learning Engineer, my role involved extensive code debugging and development to provide prompt AI solutions to our customers. After this, I worked at Motional AD Inc. as a ML Engineer where I work developed AI models to improve object detection accuracy for autonomous driving vehicles and designing engineering frameworks.
I have experience in implementing deep learning algorithms such as CNN, RNN and LSTM, using popular frameworks such as Tensorflow and PyTorch, and working on SaaS platforms such as AWS(EC2 and S3) and Microsoft Azure. I also have developed a deep conceptual understanding of the state-of-the-art techniques in the ML field such as RCNN, Faster RCNN, ResNets and GAN's.
Please feel free to contact me at [email protected] if my skill-set is a match for your organization or if you require any additional information.
helped me get this job
Skills: Python (Programming Language) · Machine Learning
Grade: 3.45/4.00 I am a Spring 17 Masters student in the Electrical and Computer Engineering department. I am graduating in May 2018.
Grade: 8.94/10.00 Gold Medalist
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Developed AI algorithms for email entity extraction Extensive Python code development, testing & debugging to provide timely solutions to customers Worked extensively with Beautifulsoup, Spacy and HTML type of data Skills: Python (Programming Language) · Machine Learning
Skills: Python (Programming Language) · Machine Learning
Developing AI to automate the auditing process of a company’s overall spend. Using state of the art deep learning, computer vision and NLP methods to automatically read and audit expense reports, receipts, invoices and contracts while cross-checking that info against hundreds of online data sources. Well versed with the full pipeline starting from data acquisition & analysis, creating pre-processing pipelines, selecting & training appropriate AI models as per nature of data, writing production level code and deployment Skills: Python (Programming Language) · Machine Learning
♣ Designed and developed an efficient algorithm and script in Python to extract plot images from the drone imagery dataset of the sorghum field. ♣ Worked extensively with geo-referenced(TIFF) images using Python GDAL library ♣ Obtained excellent detections of sorghum crop panicles by fine-tuning a Faster RCNN network. ♣ Worked on hyper-spectral camera data for RGB image correction. Skills: Python (Programming Language) · Machine Learning
♣ Performed Data Wrangling and Analysis using MySQL & Python to examine performance and learning of kids playing educational games on the tablets. ♣ The data was obtained from kid-testing sites in Tanzania, Africa and was mined to provide insights into improvement of Robotutor app; Robotutor is one of five $1M finalists in the $15M Global Learning XPRIZE. Skills: Python (Programming Language)
Indian Institute of Technology, Bombay
Designed a Brain Computer Interface system based on SSVEP paradigm which could perform different movements of a 2 DOF Robotic arm on initiating different frequency LED blinks in front of a subject. Conducted under the mentorship of: Prof. Abhishek Gupta at the Department of Mechanical Engineering at IIT Bombay.
Télécom Bretagne (ex ENST Bretagne, école nationale des télécommunications de Bretagne)
Worked on the modelling of renewable energy( solar and wind) to charge electric vehicles Conducted under the mentorship of: Prof. Jean Marie Bonnin at Telecom Bretagne
Indian Institute of Technology, Gandhinagar
Learnt about Frequency Response Analysis ( FRA) on Transformers and worked on Motor Current Signature Analysis (MCSA) for condition monitoring of induction motors Conducted under the mentorship of: Prof. Ragavan K. at the Department of Electrical Engineering at IIT Gandhinagar
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