NITIN BHANDARI

San Francisco, CA 650-***-**** adhd9s@r.postjobfree.com

Linkedin: bhandarin GitHub: bhandari-nitin https://bhandari-nitin.github.io OBJECTIVE

Senior Engineer with over 3.5+ years of startup experience involved in customer-facing engineering roles focusing on developing tools, solutions, end-to-end project implementations, working in Natural Language Processing (NLP), Data Analytics and Artificial Intelligence/Machine Learning (AI/ML) field and interested in Customer Success, Business Development and Strategy. Working on project using NLP/PyTorch on unstructured text to boost productivity, working with investors to get it off the ground. EMPLOYMENT

Senior Engineer, Customer Success Soul Machines Inc., CA Nov 19 - Present

• Working with sales team building pilot demos for key Enterprise-Level Accounts, presenting to C-level executives and their dev team, understanding their technical stack, suggesting solutions, to get new accounts on-board and upselling existing customers

• Leading 1st phase of building Platform Ecosystem working with engineering team to develop Learning Management System

(LMS), planning for 2nd phase to provide early access to help our customers outsource conversational AI systems development

• Collaborating with Technical Program Managers (TPMs), managing multiple stakeholders, setting priorities and help customer drive decisions regarding their Digital Humans, developing technical solutions

• Managing engineering/consultation arm of Customer Success growing team from two to eight engineers helping customers with product adoption along with conducting product trainings, building internal tools to help scale implementations

• Working closely with product team helping create Digital DNA (DDNA) studio carrying feedback from our Tier-1 customers, create rapidly prototype their Customer Experience with Digital Humans along with proprietary analytics dashboard

• Achieved 70% of 20 Million USD target for Customer Success team by retaining customers, renewing contracts and upselling existing accounts along with customers achieving goals with higher NPS and Customer Satisfaction score during Covid

• Technologies: AWS, Python3, PostgreSQL, Google Cloud, NLP, Conversational AI, Dialog Management, Dialogflow, Rasa Senior Software Engineer, Siri Apple Inc., CA Mar 19 – Nov 19

• Developed and maintained tools for creating training datasets for weekly run Machine Learning models, automating workflows

• Responsible for maintaining ~90% accuracy for Siri’s Indian English localization pipeline – from Automatic Speech Recognition

(ASR) to Natural Language Processing (NLP) to Text-to-Speech (TTS) in top five domains including working with iTunes team

• Prepared analytic reports and presented results to Cloud Services Localization (CSL) executive team, working with Engineering Managers, TPM for project status for Siri’s South-Asian localization pipelines, adjusting priorities for multiple projects

• Technologies: Java, Python3, Unix, PostgreSQL, Flask, ASR, TTS, NLU, Ontologies, Language Modelling, MLDC, Speech/Text data Application Engineer II ClickFox Inc. (now BryterCx), CO Dec 19 - Feb 19

• Engaged closely with Customer Success to lead end-to-end implementations for new accounts while helping the Sales team as pre-sales engineer presenting demos to potential clients backed by executive sponsorship

• Led product trainings for Tier-1 accounts along with Data Architects, demonstrating new features using real client data to gain insights from data using the platform while acting as a liaison between our Enterprise Client’s feedback and Product team

• Creating dashboards analyzing customer health, internal sales data to drive strategy for customer retention, and up-selling existing account using Clickfox’s data analytics platform, using Zoomdata for visualization

• Technologies: Java/J2EE, Unix, Python, PySpark, Tomcat, Machine Learning, ETL, PostgreSQL, Jenkins, CI/CD, Apache NiFi Application Engineer ClickFox Inc. (now BryterCx), CO Jun 18 – Dec 18

• Developed data ingestion pipelines from clients using Apache NiFi, working with Data Science Research Team on Noise- Reduction feature, analyzing Customer Journeys using clustering, tf-idf, PySpark on customer-events on multiple channels

• Deployed Clickfox’s data analytic software platform for both on-prem/hosted clients monitoring overall health, performance, administrating components of Cloudera Hadoop Distribution while being Subject Matter Expert (SME) for Tier-1 accounts

• Technologies: Java/J2EE, Unix, Python, PySpark, Tomcat, Machine Learning, ETL, PostgreSQL, Jenkins, CI/CD, Apache NiFi Data Scientist Intern Hungry LLC, MO Dec 17 - May 18

• Developed Recommender System pipeline based on Netflix’s Collaborating Filtering based on user profiles for food categories

• Built web crawlers to scrape data from various websites including Foursquare, Twitter, etc. using BeautifulSoup4 library

• Technologies: AWS, Python3, Data Analysis, Machine Learning, NLP, ETL, Postman, PostgreSQL, Tableau, Docker EDUCATION

Masters, Computer Science - (GPA: 3.8/4.0) University of Missouri-Kansas City, MO Aug 16 - May 18 Bachelors, Computer Science Engineering Model Institute of Engineering and Technology, India Aug 12 - Jun 16 TECHNICAL SKILLS

Languages & Databases : Python3, C++/Java (familiar), PostgreSQL, MySQL, HBase, Impala Big Data : Hadoop Ecosystem, HDFS, Amazon S3, Apache Spark, Kafka, Airflow Machine Learning (AI/ML) : Natural Language Processing (NLP), spaCy, NLTK, Deep Learning, PyTorch, Keras Others : Docker, Microservices, Restful Web Services, Flask, Git, AWS Services, Information Retrieval TECHNICAL EXPERIENCE

Co-Founder/Early Developer Productivity Boost Apr 20 – Present

• Developing MVP showcasing productivity boost, combining multiple channels of communication, providing intelligence by performing NLP tasks (using PyTorch) with aim of creating Platform Ecosystem

• Currently, looking to collaborate with ML Engineers and working with founder presenting pitch-decks to investors for seed funding of 3 Million USD for two years to bring product to the market, targeting project managers/engineering managers

• Technologies: AWS, Python3, PyTorch, Flask, Docker, Natural Language Processing (NLP), Postman, Go-To-Market Strategy Twitter Data Analysis for Big Data. Processing unstructured data (Twitter Feeds) for adventure sports to query user data, visualize it for analytics using NLP, Java, Apache Spark, JavaScript, d3.js, AWS, JSON, Twitter 4J API, Selenium

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