Career Log

• Defining the technical roadmap and security strategy for AI components, aligning engineering execution with long-term risk mitigation goals.
• Owning the end-to-end architecture of AI security pipelines, from threat modeling to production deployment.
• Researching security risks across AI agents, models, and data, and designing systems to proactively mitigate them.
• Scaling and mentoring a team of 10+ AI engineers to deliver and operate production-grade AI security solutions.

Independent practitioner focused on designing data pipelines, analytics systems, and exploratory workflows through self-initiated projects and hands-on experimentation.

• Designed and implemented end-to-end data workflows for solo projects, spanning data ingestion, transformation, analysis, and visualization.
• Built analytical systems and reusable notebooks to explore datasets, validate assumptions, and iterate on data-driven decision logic.
• Applied statistical reasoning and domain-driven analysis to translate raw data into structured insights, laying the foundation for later ML and AI system design.

Full-stack development for a high-growth fintech startup. Transitioned from general backend work to data engineering.

• Developed expertise in training a TTS engine with EN-IN accent speech, enabling precise synthesis of text into AI-generated speech with an authentic EN-IN accent.
• Utilized advanced speech synthesis techniques and model training methodologies.
• Hands on experience with data science and deep learning focused on training a TTS engine.