Ajin Babu

As the Founder and Enterprise Architect at Abaelus.AI, I lead the design of institutional-grade algorithmic trading platforms built on cloud-native, AI-enabled architectures. My work focuses on creating robust market data abstraction layers that transform high-frequency and large-scale trading data into structured, governed, and decision-ready intelligence for systematic and quantitative trading environments. I architect low-latency, high-throughput cloud systems across AWS and Azure, enabling real-time in

• Collaborated with customers to implement OneTrust’s privacy solutions tailored to their unique business requirements. • Led the architecture and deployment of OneTrust products, ensuring seamless integration with clients’ existing technology stacks. • Guided clients on best practices to meet compliance objectives for GDPR, CCPA, and other global regulations.

Crafting data-centric solutions using Anonos’ patented Data Embassy technology, I ensured secure and privacy-preserving data sharing and processing for clients. Collaborating with stakeholders, I drove compliance with global data protection regulations while maximizing the utility of sensitive data for advanced analytics and AI. My role involved tailoring solutions to each customer’s unique data infrastructure and guiding them in adopting cutting-edge anonymization and pseudonymization techniques for data

• Developed scalable, secure data architectures aligned with client goals and enterprise standards. • Collaborated with cross-functional teams to design robust data platforms for advanced analytics and real-time processing. • Established best practices for data governance, privacy, and security to ensure compliance with global regulations.

• Designed scalable cloud architectures on AWS to meet business requirements. • Automated infrastructure provisioning using Terraform for seamless deployments. • Migrated legacy systems to the cloud, enhancing scalability and performance. • Implemented cloud security best practices for GDPR and SOC 2 compliance.

• Led the design and development of scalable and secure technology solutions for business needs. • Collaborated with stakeholders to define architecture principles and deliver end-to-end solutions. • Continuously evaluated emerging technologies to introduce innovative solutions for system performance improvement.

As an Enterprise Data Architect | Specialist at Tata Elxsi, I designed scalable data architectures, enabled clients to adopt cutting-edge technologies, and architected data pipelines to support real-time processing and predictive analytics. • Collaborated with teams in automotive, healthcare, and other sectors to deliver domain-specific data solutions. • Ensured data governance and compliance with regulations like GDPR, HIPAA, and CCPA. • Stayed ahead of industry trends to recommend best practices and eme

Project Implementation and Delivery: Leading the end-to-end implementation of Flytxt’s AI-driven solutions, ensuring on-time and successful delivery that meets customer objectives. Client Engagement: Acting as the primary point of contact for clients, managing expectations, gathering requirements, and translating business goals into actionable project plans. Solution Design and Customization: Tailoring Flytxt’s products to align with the client’s business needs, integrating seamlessly into their existing in

As a Senior Engineer | Lead Engineer at Flytxt, your responsibilities would include: Designing Scalable Solutions: Developing and implementing robust, scalable, and efficient software solutions that cater to large-scale data processing and advanced analytics needs. Driving Innovation in AI and Analytics: Leading the design and deployment of AI/ML models and algorithms to analyze customer behavior and drive personalized engagement strategies. Technical Leadership: Providing technical guidance to engineering

• Provided deep technical knowledge in Big Data platforms like Hortonworks, Apache Hadoop, and Apache ecosystem tools for robust data processing and analytics solutions. • Designed and optimized large-scale data platforms to support advanced AI and machine learning models at Flytxt. • Led the deployment and integration of Hortonworks and Apache tools with enterprise systems to ensure seamless data pipelines and operational efficiency.