Hi, I’m Ravi Sharma
With 11.5+ Years of Experience
Scalable Solutions, Infinite Possibilities
Architecting Resilient, MLSecOps Platforms across Multi-Cloud (AWS, Azure, GCP, OpenShift).
Discover My WorkAbout Me
Productionizing complex AI systems with velocity, observability, and compliance.
Over 11.5 years of industry tenure spanning Cloud Platforms, DevOps, and Enterprise Infrastructure, I lead engineering teams in taking AI models from experimental notebooks to scalable, resilient production platforms. I solve the exact challenges that break AI initiatives: unreliable inference latency, uncontrolled GPU compute spend, and pipeline vulnerability.
Where I Want to Be: I envision mentoring the next generation of engineers and driving enterprises toward a future where technology empowers without compromising safety. Looking ahead, I’m excited to dive into quantum computing—exploring its implementations for AI acceleration, understanding its paradigm shift, and tackling security challenges like quantum-safe cryptography. I also aspire to pioneer hybrid classical-quantum MLOps pipelines and innovate in edge AI security, pushing the boundaries of what technology can achieve.
What Sets Me Apart: A problem-solver with a positive, action-oriented mindset, I bring velocity and reliability to every project, and fueled by a love for chess, badminton, and cutting-edge tech. Colleagues call me ‘cool and punctual’.
Projects
Generative AI Security Pipeline
Developed a secure MLOps pipeline for generative AI models like Stable Diffusion on AWS SageMaker and GCP Vertex AI with robust defenses.
Challenges: Prompt injection bypassed filters, and model inversion risked data exposure.
Solution: Used ART and Foolbox for adversarial training, encrypted inputs with AES-256 via AWS KMS, monitored with Splunk.
Outcome: Cut attack success by 85%, boosted resilience by 30%, ensured HIPAA/NIST compliance.
Ethical Hacking of Financial Web App
Conducted ethical hacking and penetration testing on a financial web app to identify and mitigate critical security flaws.
Challenges: Encrypted traffic hid vulnerabilities; weak authentication enabled privilege escalation.
Solution: Decrypted SSL with Proxychains, exploited flaws using SQLMap and Mimikatz, recommended MFA enhancements.
Outcome: Found 15 vulnerabilities including 3 escalations, hardened security, achieved PCIDSS compliance.
Secure IoT for Smart Manufacturing
Built a secure IoT system for a manufacturing plant using Node-RED and AWS IoT Core for real-time PLC sensor data.
Challenges: Sensor latency delayed updates; open ports risked unauthorized access.
Solution: Optimized data flow with Node-RED, secured with TLS and Sysdig, scanned vulnerabilities with Nmap.
Outcome: Achieved <1-second latency, blocked 98% intrusions, met GDPR standards.
Big Data Fraud Detection Automation
Automated a fraud detection pipeline processing 10TB of data with PySpark, Snowflake, and AWS Glue, integrating ML models.
Challenges: Data latency slowed alerts; resource overuse increased costs.
Solution: Optimized ETL with Glue, scaled Spark clusters, monitored performance using Prometheus.
Outcome: Reduced processing time by 60%, cut costs by 25%, detected 95% fraud.
Scalable ML Deployment Pipeline
Created a CI/CD pipeline for ML models with Jenkins, Kubernetes (EKS), and MLflow for automated deployment efficiency.
Challenges: Model drift degraded performance; scaling issues caused downtime.
Solution: Tuned Kubernetes resources, monitored drift with MLflow, automated retraining workflows.
Outcome: Slashed deployment time to 4 hours, achieved 99.9% uptime.
Multi-Cloud Backup Automation
Designed an automated backup system across AWS, GCP, and Azure using Terraform, Ansible, and Python for reliability.
Challenges: Inconsistent schedules risked data loss; key rotation disrupted access.
Solution: Scripted cron jobs with Terraform and Ansible, secured keys with HashiCorp Vault, monitored via Grafana.
Outcome: Ensured 100% backup reliability, sped recovery by 70%, GDPR compliant.
Skills
MLOps & AI Automation
TensorFlow, PyTorch, Gemini, LLM, MLflow, Vertex AI, SageMaker, Stability AI, Gradio, Hugging Face, Terraform, Ansible, Helm, ArgoCD, Grafana, Splunk, SSO (Okta, Auth0)
DevOps & CI/CD Pipelines
Docker, Kubernetes (EKS, GKE, AKS),OpenShift, Load Balancer, Jenkins, GitLab, GitHub Actions, Bitbucket, Azure Pipeline, CodePipeline, Octopus Deploy, XL XebiaLabs, HashiCorp Vault
Cloud Platforms
AWS (ECS, Lambda, S3, IAM, ECR, VPC, SG, SM, RDS, CloudFormation, Autoscalling, VPC, Route53, EventBridge), GCP, Azure (Key Vault, Databricks, Functions, ARM), CDN, IBM Cloud, Alibaba Cloud
MLSecOps & Cybersecurity
ART, CleverHans, Foolbox, Qualys, Sysdig, Checkov, Cryptography, Burp Suite, OWASP ZAP, SAST, DAST, WAF, SIEM,Tenable; HIPAA, NIST, GDPR, PCIDSS compliance
Big Data & IoT
Hadoop, PySpark, Snowflake, EMR, Glue, Athena, BigQuery, Redshift, Node-RED, PLC Sensors integration, Kafka, Pub/Sub, RabbitMQ, Data Lake
Programming & Dev Tools
Python, Java, Node.js, Golang, Vue.js, Ruby, Bash, PowerShell, Maven, Gradle, Postman, Selenium, Jira, Traefik, Apache, Nginx, Istio
Databases & Backup
PostgreSQL, MySQL, MongoDB, DynamoDB, Oracle, TSDB, Backup Solutions (AWS, GCP, Azure), Kasten K10, Veeam, Teradata
Ethical Hacking & Pen Testing
Nmap, Metasploit, Wireshark, Mimikatz, Red-Hawk, SQLMap, Nessus, Burp Suite, OWASP ZAP, Proxychains, Hashcat
Professional Training
Institutional training and formal enterprise programs.
- AWS Cloud, Big Data & AI/ML — True Height Interface Infosolutions, Mumbai (2018–19)
- Certified Ethical Hacker (CEHv9) — Nettech India, Mumbai (2015–16)
- Red Hat (RHCE) & Systems Engineering (MCITP, CCNA) — Emind Technologies, Bangalore (2013–14)
- Diploma in Computer Applications (DCA) — Adarsh Institute of Computers (2006–07)
Certifications
Verified technical credentials and security accreditations.
- Certified Ethical Hacker (CEHv9) — EC-Council USA (2016)
- Network Security Expert (NSE 1 + NSE 2) — Fortinet USA (2020)
- AWS Machine Learning & Cloud Essentials Services — Amazon Web Services (2020)
- AWS Strategies & Tools for Large-Scale Migrations — Amazon Web Services (2020)
- Manage a Cloud Server Admin — Alibaba Cloud Singapore (2020)
- Artificial Intelligence Professional — DeepLearning.AI USA (2022)
- The Complete Application Security — EC-Council USA (2022)
- Security Automation with Ansible & Log4j — EC-Council USA (2022)
- Network Security Expert (NSE 3) — Fortinet USA (2022)
Contact Me
Email me at rlucys@hotmail.com or connect on LinkedIn.