Rahul Gaikwad Email & Phone Number

India

India

India

• Responsible for end-to-end development of models starting with requirement analysis, data exploration, data extraction, feature engineering, model selection, training, and deployment.• Designed and developed state-of-the-art production-ready solutions using advanced AI techniques.• Proactively fetched information for all the verticals (6) under the property line of business.• Analyzed the data for a better understanding of how the business performs and built AI tools that automate processes within the company.• Helped the company to reduce the effort & time of the underwriter, further improving the quality of data.• Ensured data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment, etc.

India

• Project Management: Technologies used: Trello, Scrum. Effectively managed the product backlogs in line with corporate strategies and goals, optimized team velocities, improved the team's capacity by removing impediments, and coordinated the release management activities. Successfully implemented solutions using Agile (SCRUM) Methodology by playing the roles of Product Owner as well as Scrum Master in different projects.• Aadhar number masking on aadhar cards and application form (2 mos): Technologies used: Python, OpenCV, OCR(Google Vision), sklearn, Probability.Designed, developed and deployed a system which is used to mask The AADHAAR details if mentioned anywhere in the form.• Log Analysis, Visualization & Monitoring with Elasticsearch & Elastic Stack (4 mos): Technologies used: Python, Java, Elasticsearch, Logstash, Kibana, Filebeat, AMQP.Designed, developed and deployed on ELK which is used for monitoring, troubleshooting IT environments.

India

• Named Entity Recognition with NLTK and SpaCy (4 mos)Technologies used: Python, Java, OpenCV, Spacy, NLTK, MySQL, Docker.Built applications that process and “understand” large volumes of text using spacy’s NER technique which is designed specifically for production use.Use cases like unstructured residential addresses(data sourcetext), Printed letter content(data source-image) etc.• Information Extraction from KYC and Other Documents (6 mos)Technologies used: Python, Java, scikit-learn, probability, Faster R-CNN, Mask R-CNN, MySQL.Concoct a Bayesian neural network, Machine Learning Text Classification API to build cognitive services for converting unstructured and dark data for Handwritten forms and Invoices.This combined approach ensured the accuracy required for most automation tasks – upwards of 95%.

India

• Intent Classification and Entity Extraction (6 mos)Technologies used: Python, NLTK, Stanford CoreNLP tool viz POS tagger, Constituency Parser, Dependency Parser.Designed, Developed and Deployed Email automation(NLU) system in customer service desks, sales and marketing amongst other departments to get intents and entities from email.• Hadoop on Ubuntu Linux (2 mos)Technologies used: Linux, Hadoop HDFS, Java, Apache.Installed Hadoop and its related components in Single node as well as Multi node cluster environment using Apache.Hadoop Cluster capacity planning, performance tuning, cluster Monitoring, Troubleshooting.

India

• Industrial Equipment Monitoring System (6 mos)Technologies used: Python, Arduino, Raspberry Pi 3, mongo DB, MySQLResponsible for the acquisition and management of IoT services. Developed an overall IoT and Mobile ecosystem engagement strategy.Participated in the development of IoT road maps and support the technical decisions.

Master Of Science, Computer Science, Cgpa 9.08

Bachelor'S Degree, Computer Science, Final Sem - 88 %