Presentation
My services cover full-lifecycle DevSecOps, zero-trust cloud hardening, vulnerability assessments, and smart contract security auditing. I build automated shift-left security pipelines that integrate SAST and DAST tooling (Semgrep, Nuclei, Trivy), automate Software Bill of Materials (SBOM) generation, and enforce cryptographic image signing via Sigstore Cosign. For cloud and containerized environments, I implement Kubernetes admission control policies using Open Policy Agent (OPA Gatekeeper) and eBPF-based runtime threat detection to monitor kernel syscalls and automate incident containment. In the Web3 and DeFi space, I perform comprehensive smart contract security reviews, static analysis, and invariant fuzz testing (Foundry, Hardhat) across EVM and Solana Anchor programs to eliminate reentrancy, access control bypasses, and state manipulation risks.
What sets me apart is that I am an experienced systems developer, not just a scanner operator. Having engineered enterprise data infrastructure and platforms like AttestGuard and SecureLoop, I deliver developer-ready remediation code, reproducible test vectors, and clear mitigation blueprints rather than generic automated reports. Whether you need to secure a cloud deployment, achieve compliance, harden a CI/CD pipeline, or audit an application before mainnet launch, I provide rigorous, audit-grade protection tailored to your architecture.
Background
achieving significant improvements in model alignment, safety scores, and compliance metrics.
● Architected distributed training infrastructure for Large Language Models (LLMs) on clusters of 10,000+ GPUs,
enabling training of billion-parameter models at enterprise scale.
● Reduced inference latency by 35% through advanced quantization techniques (INT8/FP16) and model distillation,
directly lowering serving costs and improving user-facing response times.
● Drove adoption of MLOps best practices, including CI/CD for ML, experiment tracking, and automated
evaluation, compressing deployment cycles and improving model reproducibility.
quality, structured inputs across text, image, and structured data domains.
● Implemented automated hyperparameter tuning workflows (Bayesian optimization) that increased model accuracy
by 12% for Search-related ranking algorithms, impacting millions of daily active users.
● Collaborated on the deployment of production-grade AI features serving millions of daily active users, applying
A/B testing frameworks to validate model improvements before full rollout.
● Contributed to MLOps infrastructure including model versioning, shadow deployment, and automated rollback
mechanisms, achieving zero-downtime model updates.
processes and mentoring a team of 4 junior engineers in best practices.
● Designed and delivered responsive, high-performance web applications using modern front-end frameworks,
integrating RESTful APIs and server-side logic for seamless user experiences.
● Authored comprehensive technical training documentation that accelerated onboarding of new engineers by an
estimated 30%, reducing time-to-productivity.
code, ensuring alignment between UX specifications and final implementations.
● Diagnosed and resolved complex software performance bottlenecks, improving application stability and usability
across a suite of enterprise tools used by thousands of employees.
● Delivered high-quality features on schedule by applying agile methodologies and software engineering best
practices across the full development lifecycle.
critical enterprise systems.
● Designed intuitive user interfaces that enhanced client interaction with applications, improving usability scores and
reducing support tickets.
● Implemented secure and efficient data storage solutions, laying the foundation for scalable data management
practices adopted across the team.


