Hey there! I'm Darshit Shah, a passionate Data Engineer and AI enthusiast with a journey that's been nothing short of a thrilling adventure. My story began five years ago in the dynamic world of data, where I started unraveling the mysteries hidden within numbers and patterns.📈 Picture this: it's 2019, and I'm stepping into my role at LTIMindtree, diving headfirst into the complexities of data engineering. Leading a team at UBS, we launched a real-time BFS data validation system using Kafka and Splunk, boosting data accuracy by 10% and cutting processing time by 40%. The thrill of automating data pipelines with Airflow and transforming data processing efficiency became my new normal.💡 Fast forward to my time at Founderway.ai, where I embraced the exciting world of AI. Here, I designed AI-driven chatbots and developed AI-powered workflows with Azure OpenAI's RAG. Imagine integrating cutting-edge technologies to create intelligent systems that revolutionized how we interacted with data. One of my proudest achievements was building a user-preference-based algorithm using BERT, which significantly improved user satisfaction.🌐 Alongside my professional journey, I pursued my Master’s at Northeastern University. Balancing a GPA of 3.9, I immersed myself in courses like Data Science and Generative AI. This academic adventure not only sharpened my technical skills but also reshaped my perspective on data and AI, preparing me for the challenges ahead.🚀 Now, I'm at a crossroads, eager to embark on new adventures at the intersection of AI and data engineering. Whether it's designing intuitive interfaces, developing real-time data pipelines, or leading projects that transform raw data into actionable insights, I thrive on challenges and continuous learning.Let’s connect and explore how we can innovate and grow together. Ready to dive into the exciting possibilities with me?Contact me at: shah.darshit@northeastern.eduTechnical Skills:Programming: Python, Java, JavaScript, HTML5, CSS3, Selenium, StreamlitGenerative AI: Azure OpenAI, Gemini, RAG, Hugging Face, Langchain, LlamaData Technologies: MySQL, Oracle DB, MongoDB, Airflow, Talend, Alteryx, Tableau, Power BI, SnowflakeProject Management: Agile Model, GitHub, Microsoft Office Suite, Atlassian JIRACloud Technology: AWS (Glue, S3, Athena, EC2), Azure (Containers, AI Services, Open AI, Resource groups)Libraries: NumPy, Pandas, Matplotlib, Seaborn, BeautifulSoup, Tweepy, Scikit-learn
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Ai ConsultantCodersgenieBoston, Ma, Us
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Graduate Teaching AssistantNortheastern University Sep 2024 - PresentBoston, Ma, Us• Collaborated with professor to enhance course content and classroom engagement, optimizing learning resources for over 30 students in Generative AI and data engineering.• Led weekly TA hours, providing targeted guidance to 30+ students, addressing course-related queries, and supporting project development, improving student satisfaction and project quality.• Supported student groups through all stages of project development, from brainstorming ideas to implementation, contributing to a 90% project success rate.• Delivered tailored consultations on tool utilization and relevant technologies, enabling students to leverage advanced AI and data engineering resources effectively.• Resolved student inquiries on complex AI topics, simplifying concepts in generative AI, data engineering, and course materials to enhance comprehension and foster independent problem-solving skills. -
Ai EngineerFounderway Jan 2024 - Jun 2024Richmond , Va, Us🚀 Project Highlights:1. AI-Driven Chatbots:• Enhanced interactivity and accuracy by integrating Azure AI Search with AI Chat completion API.Dynamically processed semantic search results using JavaScript.• Authored comprehensive documentation on the Azure AI Search workflow, empowering stakeholders and future system improvements.• Collaborated with Microsoft support to resolve a CORS policy issue for server-side configuration.2. AI-Powered Workflows:• Developed a workflow leveraging Azure OpenAI's RAG for precise text similarity assessments using auto-vector-embedded data.3. Co-Founder Matching Algorithm:• Designed and built a user-preference-based matching algorithm using BERT, resulting in a 35% increase in accuracy and user satisfaction. -
Event AssistantNortheastern University Apr 2024 - May 2024Boston, Ma, Us• Guided over 13,000 graduating students to designated areas for cap and gown pick-ups, ensuring a smooth and organized distribution process• Maintained a detailed database of 13,000 students, recording program, class, and personal information to facilitate accurate and efficient gown distribution• Restocked and managed inventory of graduation essentials, including caps, gowns, tassels, badges, flags, and hoods, ensuring all items were readily available for distribution
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Graduate Teaching AssistantNortheastern University Sep 2023 - Dec 2023Boston, Ma, Us• Mentoring students on software development best practices, including version control, unit testing, code review, and validation, to help them build robust and maintainable Java Swing applications• Supporting students individually and in groups, fostering their problem-solving skills and providing constructive feedback to promote their growth and proficiency in Java Swing application development
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Data EngineerLti - Larsen & Toubro Infotech Jun 2019 - Jul 2022Mumbai, Maharashtra, In• Developed real-time message validation system using Kafka and Splunk, increasing 10% data accuracy and processing time by 40%, while leading team at UBS (FSI) client• Collaborated with senior management and cross-functional teams to analyze position and balance data from AWS S3 to identify and mitigate data quality issues, improving business decision-making by 60%• Automated security holding data processing with Airflow ETL pipelines for BFS data, increasing productivity 75%, accelerating 30% data transformation speed, and enabling faster insights• Leveraged Tableau reports and cross-functional collaboration to resolve concerns with transaction data and improve efficiency KPIs by 50%, leading to better business insights and decision-making• Reduced processing cost by 20%, implemented 5 Airflow DAGS to automate 3 million rows of accounts data
Darshit Bharatkumar Shah Education Details
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Northeastern UniversityInformation Systems -
K. J. Somaiya Institute Of TechnologyInformation Technology
Frequently Asked Questions about Darshit Bharatkumar Shah
What company does Darshit Bharatkumar Shah work for?
Darshit Bharatkumar Shah works for Codersgenie
What is Darshit Bharatkumar Shah's role at the current company?
Darshit Bharatkumar Shah's current role is AI Consultant.
What schools did Darshit Bharatkumar Shah attend?
Darshit Bharatkumar Shah attended Northeastern University, K. J. Somaiya Institute Of Technology.
Who are Darshit Bharatkumar Shah's colleagues?
Darshit Bharatkumar Shah's colleagues are Justin R., Mary Ramsey, Jim Wise, Brennan Pryce, Moamen M., Kika Hecini, Edward Diaz.
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