Rashida Sailanawala

About Rashida Sailanawala

AI Product Head | Data Science Leader | Mentor | Builder of Scalable, Human-Centered ML SystemsHi, I’m Rashida Sailanawala — an AI and Data Science Engineer with 9+ years of experience in designing, developing, and deploying advanced machine learning systems and AI solutions, transforming complex ideas into intelligent, impactful products. My journey spans software development, deep learning, NLP, and product strategy — all fueled by a strong belief in meaningful innovation and collaborative growth.At Techdome Solutions, I lead the development of AI-powered systems that range from building large language model(LLM)-driven applications, implementing Retrieval-Augmented Generation (RAG), and deploying containerized models using Docker and AWS. I am adept at building API-driven architectures with FastAPI, handling large datasets with Pandas, Numpy and PySpark and ensuring scalable deployments using CI/CD and AWS SageMaker Unified Studio. I have strong foundation in DSA, ML algorithms, prompt engineering, and cloud-native development, with a passion for solving complex AI challenges in real-world scenarios.I\'m also the AI Product Head of Sparrow (https://sparrowapp.dev/)— an open-source API testing tool designed to simplify and accelerate testing for developers and QA engineers. At Sparrow, I bring a vision that blends simplicity, intelligence, and community-first design into every product decision.Mentorship is at the heart of my leadership style. I actively guide a team of interns and junior data scientists — encouraging innovation, critical thinking, and a product-first mindset. Whether it\'s brainstorming patentable ideas or refining DS solutions for scale, I enjoy turning learning into a team sport.What drives me? Building AI that works, speaks, and adapts — for people.Let’s connect if you’re passionate about:1. AI/ML product innovation2. Leading high-impact DS teams3. Open-source and scalable systems4. Mentoring the next wave of builders

Experience

1. Sr Data Science Engineer

   Techdome

   May 2024 — Present

   Led 4+ enterprise-scale GenAI initiatives end-to-end, driving $2M+ in estimated business value through AI-powered automation and intelligence solutions across fintech, media and video generation sectors. Designed and deployed autonomous AI agents with multi-step reasoning capabilities, implementing comprehensive safety guardrails (input validation, output moderation, LLM evaluation frameworks) ensuring 99.5% compliance. Architected enterprise knowledge assistants using vector search + RAG pipelines, achieving 35% improvement in contextual accuracy and reducing information retrieval time by 45%. Managed cross-functional teams across 20+ sprints with 95% on-time delivery rate; reduced project blockers by 22% through structured backlog grooming and proactive risk management. Served as primary executive liaison, translating complex AI capabilities into business KPIs for C-suite stakeholders in finance risk, customer experience, and compliance domains.

Education

• Scaler

  Data Science and Machine Learning

  2022 — 2024

• St. Joseph's Convent Senior Secondary School,Ratlam (M.P.)

  Physics, Mathematics, Chemistry and Informatic Practices

  1996 — 2011

• Oriental Institute of Science & Technology

  Bachelor of Engineering (BEng)

  2011 — 2015

Skills

• Java
• Project Management
• Php Frameworks
• Cascading Style Sheets (Css)
• Leadership
• Javascript
• Web Services Api
• Sql
• Spring Mvc
• Phalcon Framework
• Management
• Html5