Freyam M. Email & Phone Number

London, GB

San Francisco Bay Area

As a founding engineer, I focus on developing Authentication, Authorization, and Audit platforms that secure AI applications for enterprises. My work involves identifying and mitigating attack vectors and vulnerabilities, providing comprehensive protection in the rapidly evolving field of AI technology.

Seattle, Washington, United States

• AVID ML: https://avidml.org/
• Published ’Closing the Loop: Embedding Observability in the GenAI Product Lifecycle for Systematic Bias Mitigation,’ accepted at GenAICHI, ACM CHI 2024.
• Created BiasAware, a framework for real-time identification of security vulnerabilities and biases in training datasets, improving model reliability and fairness through continuous monitoring and adaptive learning.
• Built MLOps pipelines that integrate threat modelling and risk assessment, delivering real-time analysis to monitor system security.

• Jenkins: https://www.jenkins.io/
• Attained a 40% reduction in build time, deployment cycles, and testing efforts by developing a plugin to optimise workflows.
• Reduced communication overhead by 25% and improved issue resolution with real-time build status updates in GitLab.

Bengaluru, Karnataka, India

• Oracle Compute: https://www.oracle.com/in/cloud/compute/
• Designed a disaster recovery and vulnerability remediation plan using Oracle Cloud Guard, reducing downtime by 70% and improving incident response times by 50% for critical cloud services.
• Engineered a dynamic security sandbox for Oracle Compute environments, enabling real-time threat isolation and OS image scanning workflows without disrupting operational processes.
• Worked on a risk prioritization framework using Oracle Security Zones and threat modeling, providing users with clear, data-driven insights for better decision-making.
• Automated data retrieval processes for compute instances on Oracle Cloud Infrastructure (OCI), simplifying security assessments and improving operational workflows.

Hyderabad, Telangana, India

• Precog: https://precog.iiit.ac.in/
• Conducted comprehensive NLP analysis on disparities in COVID-19 vaccine distribution, providing actionable insights for data-driven policy adjustments aimed at enhancing healthcare inclusivity and equity.

• Joomla!: https://www.joomla.org/
• Reduced support ticket volume by over 30% by mentoring a team and implementing guided tours for frequently requested actions.

Hyderabad, Telangana, India

• Directed a team of four in architecting and deploying microservice frameworks, optimizing latency and scalability for enterprise-level e-marketplaces.
• Automated operational workflows for 100,000+ farm-to-form businesses by developing and deploying a centralized platform, Puhas Farms, streamlining resource allocation and supply chain management.
• Accelerated yearly trades of over 2 million rupees by creating a contract-based auction space (INBEX).

Hyderabad, Telangana, India

• Temperate: https://temperate.tech/
• Optimized server performance to sub-50ms response times by engineering a hybrid cloud infrastructure with Kubernetes and Istio, enhancing data processing efficiency and service reliability.
• Drove a 2000% QoQ growth in user base by expanding the product ecosystem with cross-platform dashboards.

Hyderabad, Telangana, India

• Forest Governance: https://forestgovernance.in/
• Increased the participation of semi-literate forest landowners by over 300% by developing a gamified species classifier (SpecieFi).
• Simplified the legal processes of the FRCs in over 700 Indian communities by spearheading a localised solution (RatiFi and FormiFi).
• Enhanced data security with robust encryption and access controls, safeguarding sensitive information on community resources.

• Google Cirq: https://quantumai.google/cirq
• Developed visualizations for Matrix Gates, enabling dynamic graphical representation of custom gates, including multi-qubit operations, to improve interpretability and analysis.
• Strengthened the Cirq testing framework by implementing comprehensive unit tests for SVG rendering, ensuring reliable visual outputs across diverse quantum circuit configurations.

• MLIR: https://mlir.llvm.org/
• Engineered a visualization tool within the MLIR framework to represent Rewrite Rules and Pattern Matching DAGs, enhancing the comprehension of transformation sequences.
• Developed a recursive DAG dump feature akin to LLVM's dumpr, enabling graphical differentiation of input/output DAG pairs with color-coded highlights for node modifications and pattern matches.
• Integrated graph analysis techniques to track and display the impact of greedy and dialect-specific rewrite drivers, providing deep insights into the optimization process and transformation efficacy.

• Dask: https://www.dask.org/
• Achieved 600% performance improvement and sub-100ms response time by optimizing Dask collections visualisation.
• Played a pivotal role in partnering with NVIDIA and Anaconda to enhance Dask’s parallel computing capabilities.