# Tejal R. > MS AI | Machine Learning Engineer | Former SWE @BNP PARIBAS Location: New York, New York, United States Profile: https://flows.cv/tejalr I’m a Software Engineer with 5+ years of experience building scalable Python applications, ETL pipelines, and machine learning systems across finance, AI, and analytics. I have designed and deployed 10+ ML and Generative AI models using Scikit-learn, XGBoost, LangChain, and MLflow, powering predictive insights, conversational AI, and explainable AI features for enterprise clients. I specialize in developing secure data pipelines with Python, Apache Kafka, AWS Lambda, and SQL, optimizing data ingestion and analytics workflows for near real-time processing. I thrive in Agile, collaborative environments, integrating cloud platforms, Docker, and CI/CD practices to deliver production-ready solutions that reduce downtime and improve efficiency. Passionate about solving complex problems with data and AI, I enjoy turning technical challenges into actionable solutions that drive measurable impact for businesses. ## Work Experience ### Software Engineer (Data & Machine Learning) @ Squark Jan 2023 – Present | Boston, Massachusetts, United States Squark is a leading no-code AI as a Service (AIaaS) platform, empowering data-driven businesses to create actionable insights, drive smarter decisions, innovate with their data. From predictive AI to generative AI to NLP and more, Squark enables creators to harness the full potential of AI for data analysis, decision prioritization and strategic action. Our platform is designed for ease of use, scalability, accuracy, and robust security, making creativity with advanced AI accessible to both business and technical users without the need for deep data science expertise. Just bring your ideas, and Squark will handle the rest. ### Software Engineer (Generative AI) @ Abecedarian, LLC Jan 2023 – Jan 2023 | Boston, Massachusetts, United States • Contributed to AI content generation system using Spring Boot, integrating OpenAI's ChatGPT API to dynamically generate storylines, character dialogues and scene descriptions for a graphic novel application. • Built RESTful endpoints further to coordinate with the DALL-E API & experiment with MidJourney Discord API for automated AI-driven image generation, ensuring seamless communication between components. • Implemented robust backend logic in Java to manage prompt creation, response handling and data flow across multiple AI services. • Implemented data quality control measures to ensure consistency in narrative flow, stylistic coherence, and factual accuracy across the generated content. ### Graduate Teaching Assistant @ Khoury College of Computer Sciences Jan 2022 – Jan 2023 | Boston, Massachusetts, United States • Mentored students in DS3000 Foundation of Data Science course under Professor Sophine Clachar, PhD. • Responsibilities involve conducting regular office hours to help students with conceptual understanding, good design practices, and debugging & grading labs, assignments in a timely manner & providing constructive feedback to improve. • Topics included : Python fundamentals, Data Wrangling, Statistical Modeling, Hypothesis Testing and Machine Learning Pipeline & Hyper-parameter tuning. ### Graduate Research Assistant @ Khoury College of Computer Sciences Jan 2023 – Jan 2023 | Boston, Massachusetts, United States • Supported research efforts in Generative AI. • Scraped & integrated data on jobs from multiple sources to build database. • Explored & analyzed various existing research on methodologies suitable for skill extraction from unstructured text data. ### Python Developer (ETL Pipelines) @ Cipla Jan 2019 – Jan 2021 | Mumbai, Maharashtra, India • Engineered scalable ETL pipelines in Python using Pandas, Paramiko, and Boto3 to ingest and preprocess high-volume data from seven external vendors, supporting downstream analytics across three business units. • Standardized data ingestion for XML, CSV, and JSON formats, embedding schema validation and error-loggingroutines that ensured structural integrity across eighteen active workflows. • Automated file transfers between on-premise Linux servers and AWS S3 buckets using Cron jobs and SSH-based scripts, saving over 24 hours of manual work weekly. • Reduced batch job runtimes by integrating multiprocessing, optimizing I/O operations, and implementing asynchronous processing across forty scheduled data pipelines. • Developed reusable Python modules for data type checks, normalization, and exception handling, enabling five engineering teams to unify data processing standards across projects. • Collaborated with QA and DevOps to perform end-to-end UAT, version control with Bitbucket, and continuous deployment via Jenkins, ensuring smooth delivery of production-ready ETL assets. • Left BNP Paribas to pursue MS however plans got delayed due to Covid-19, meanwhile took up this role. ### Software Engineer @ BNP Paribas Jan 2019 – Jan 2019 | Mumbai, Maharashtra, India • Experienced with Agile Methodologies. • Use and knowledge of DevOps Tools - Git, Jira, Jenkins, Maven, Artifactory, Selenium, Cloud Computing. • Leading contributor in team's velocity throughout all the sprint cycles. • Implemented Auditing functionality using Spring Data JPA. • Built scalable robust ETL pipelines for data from diverse sources, enabling real-time reporting for business stakeholders. • Improved the performance of multiple SQL queries & views through optimization techniques, enhancing overall database efficiency. • Applied Data science methodologies and contributed to ML model for Business Intelligence project. • Handled technical migration of other two outdated technology stack projects. • Conducted knowledge transfer session (technical and functional) for the new members. ### Associate Software Engineer @ BNP Paribas Jan 2017 – Jan 2019 | Mumbai, Maharashtra, India • Developed an in-house application from scratch to manage on-boarding. This app simplified and automated several tasks that replaced the existing manual spreadsheet tracking activities of on-boarded members. Stack - SQL, SpringBoot, SpringMVC, Angular, Hibernate, Tomcat. • Designed user interfaces using Angular & implemented REST API endpoints using Spring Boot. • Contributed in all phases of SDLC of a crucial M&A BI project in Java. Developed new modules, fixed bugs and improved code optimization. • Worked on reducing technical debt and improved code quality of the project. • Collaborated with QA team to test functionalities, find bugs, and perform root cause analysis. ### Technical Writer @ Stupidsid Jan 2015 – Jan 2017 | Mumbai • Created simplified content explaining technical concepts on various courses of undergrad subject matter. • Used LaTeX to organize the information to make it presentable and legible. ### Full Stack Developer @ Brāv Conflict Management Jan 2016 – Jan 2017 | United States • Brāv (brav.org) is an online conflict management platform focused to curb destructive conflicts using technology developed on sails.js MVC framework. • Worked mainly on the back-end of the system which involved server-side scripting using Node.js and querying MongoDB database. • Designed an efficient MongoDB data model for the application, resulting in improved query performance and data retrieval. • Developed front-end using AngularJS, Bootstrap and helped with integration of Stripe payment gateway. • Performed Unit and Integration testing for the new functionalities and attained quality bug-free deliverables. ## Education ### Master of Science - MS in Artificial Intelligence Northeastern University Jan 2021 – Jan 2023 ### Bachelor of Engineering (B.E.) in Computer Engineering University of Mumbai Jan 2013 – Jan 2017 ## Contact & Social - LinkedIn: https://linkedin.com/in/tejal-rawale --- Source: https://flows.cv/tejalr JSON Resume: https://flows.cv/tejalr/resume.json Last updated: 2026-04-01