Secured 500+ healthcare devices across LAN, WAN and WLAN using Palo Alto, Cisco ASA, F5, Zscaler and Sophos, supporting secure EHR/EMR and clinical data environments with HIPAA compliance.
Implemented SSL decryption, F5 LTM/ASM/AWAF, WAF, VPN, IDS/IPS and Zero Trust controls protecting PHI and HL7 integrations, reducing security incidents by 32%.
Protected PHI, HL7, FHIR, EHR/EMR, ICD-10 and claims data across AWS and GCP using encryption and access controls.
Automated network security with Terraform, Ansible, Python and REST APIs, reducing deployment effort by 45% through repeatable infrastructure as code.
Applied AI-driven anomaly detection and LLM log analysis across Splunk SIEM monitoring, accelerating incident triage by 38%.
Troubleshot enterprise network issues, monitored Splunk SIEM, maintained topologies, and resolved firewall, routing and connectivity incidents.
Founding Engineer, SWE + SecurityCurrent
Prep'd, New York
Built Whoop and Oura OAuth 2.0 integrations across 6 modules, with hourly auto-refresh, HMAC-verified webhooks and full revocation flows.
Built a Claude-powered generator that turns biometric profiles into structured chef briefs across 3 meal categories.
Designed a hybrid AI diet engine: a rule-based layer handled about 38% of 40 test profiles without an LLM call, and raw health data stays out of prompts.
Own security architecture for a health-data platform under HIPAA and GDPR: field-level encryption, minimum-scope OAuth, audit logging and cryptographic session checks for in-home access.
Cybersecurity Architect
Peblink, Remote
Hardened AWS, Azure and GCP with KQL detection rules and MITRE ATT&CK correlation logic, reducing false positives by 20%.
Built Python fraud detection and real-time monitoring workflows for credential stuffing and anomalous activity, improving MTTD by 15%.
Enforced least-privilege IAM and secrets management, with secure SDLC guardrails through GitHub Actions and Terraform.
Automated SOC 2 evidence generation and compliance reporting, reducing manual audit overhead by 30%.
Designed the security architecture for a cyber-physical tracking system on the Berbera to Ethiopia logistics corridor.
Cybersecurity Engineer
Sacha Engineering (Ford), Chennai
Engineered a cloud hardening and vulnerability management program across AWS and Azure, reducing security incidents by 30%.
Ran Nessus assessments across 200+ assets, reducing critical and high vulnerabilities by 40% within two remediation cycles.
Optimized firewall configurations across 50+ network segments, improving threat blocking efficiency by 35% at 99.9% uptime.
Performed threat modeling, secure code review, forensic investigations and root cause analysis.
Wrote Python for vulnerability scanning, alert triage and evidence collection, reducing effort by 40%.
Led and mentored 5 analysts, increasing SOC operational efficiency by 30%.
Assistant System Engineer
Tata Consultancy Services, Bengaluru
Developed Python security automation and detection rules for banking clients, reducing MTTD and attack surface by 20%.
Triaged incidents in a SOC using SIEM and EDR, and reconstructed timelines from forensic artifacts to identify IOCs.
Ran hypothesis-driven threat hunts across endpoint telemetry and mapped attacker TTPs to MITRE ATT&CK.
Led CVE and CVSS triage, remediation workflows and patch verification pipelines.
Implemented SOC 2 and GDPR controls and IAM policies across regulated banking cloud environments.
Cybersecurity Intern
Cyberwarfare Labs, Bengaluru
Supported cloud monitoring, alert triage and KQL-based threat hunting.
Ran vulnerability assessments with Nessus and Nmap, and analyzed network traffic with Wireshark to find anomalies and credential stuffing patterns.