Surendra Kumar Mali

Founder

Pune, Maharashtra, India11 yrs 9 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in compliance automation for regulated industries.
Proven track record in cybersecurity leadership.
Innovative solutions for AI and IIoT integration.

Stackforce AI infers this person is a Cybersecurity and Compliance expert in the Healthcare and AI sectors.

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Skills

Core Skills

CybersecurityCompliance AutomationAi/iotData EngineeringMlopsCloud SecurityMachine LearningDigital Signal Processing

Other Skills

Compliance (SOC 2, HITRUST)Industrial Internet of Things (IIoT)Embedded SystemsEngineeringAWS cloudDevOpsPythonDigital Signal ProcessorsAudio Signal ProcessingNoise ReductionWake-Word DetectionTensorFlowHybrid CloudSplunkInternet of Things

About

My mission is to solve one of the biggest blockers to innovation in regulated industries: the overwhelming complexity of compliance. Whether it's HIPAA in healthcare, SOC2 for SaaS, or the comprehensive HITRUST framework, organizations face a constant battle to build cutting-edge data and AI systems while navigating these critical standards. Too often, security and compliance are seen as barriers, not enablers of trust and growth. I am passionate about changing this narrative. I believe the future lies in engineering compliance directly into the cloud—automating the controls and simplifying the path to certification. My work focuses on creating scalable, "compliance-by-design" frameworks that empower teams to innovate freely and securely. As a Data Engineering Manager in the demanding healthcare sector, I have honed these principles in practice, leading teams to build platforms that are not only powerful but also consistently audit-ready. Core Competencies: ◈ GRC (Governance, Risk, Compliance) Strategy ◈ Compliance Automation (SOC2, HITRUST, HIPAA) ◈ Cloud Security & Cybersecurity ◈ Data Engineering & Secure Architecture ◈ AI/MLOps ◈ DevSecOps ◈ Regulatory Technology (RegTech) ◈ Embedded System Design ◈ AI-IOT/IIOT

Experience

Cbnsense

Founder & CEO

Aug 2025 – Present · 7 mos · Pune, Maharashtra, India · Hybrid

As Founder & CEO at CBNsense, I lead our mission to help enterprises achieve cyber resilience, compliance readiness, and Industry 5.0 transformation.
What we do:
Cybersecurity & Compliance as a Service (CaaS): End-to-end SOC 2 & HITRUST readiness, hands-on remediation, and audit management.
Enterprise AI & IIoT Solutions: Full-stack platform include custom Embedded system design, data unification, and digitalization of legacy systems.
ESG Tech Consulting: Custom GHG accounting tools, IoT-enabled carbon data tracking, and sustainability advisory.
Impact: We empower businesses to unlock enterprise deals faster, reduce compliance burdens, and build future-ready operations.

CybersecurityCompliance (SOC 2, HITRUST)Industrial Internet of Things (IIoT)Cloud SecurityEmbedded SystemsEngineering+1

Optum

Data Engineering Manager

Mar 2018 – Sep 2025 · 7 yrs 6 mos · Mumbai, Maharashtra, India

As a technical strategist in the regulated healthcare space, I specialize in architecting secure, scalable, and cost-effective data ecosystems compliant by design (HIPAA, HITRUST) for large-scale AI/NLP applications.
My key contributions include:
🏆 Employee of the Year (2023): Recognized for exceptional technical leadership and significant contributions to data platform security and innovation.
◈ Security Transformation: Drove a critical initiative that reduced our ML platform's vulnerability score from the highest to the lowest in the organization, drastically improving our security posture.
◈ Critical Incident Response: Acted as a key technical advisor during a major security incident, providing recommendations that were instrumental in accelerating the restoration of production systems.
◈ Cross-Functional Leadership: Orchestrated collaboration between senior leadership (CXOs) and technical teams (AI/Ops), defining project scope and leading initial execution on major strategic initiatives.
◈ Cloud Cost Optimization (FinOps): Led an initiative that successfully reduced our annual AWS cloud spend by over 20% without impacting system performance.
◈ MLOps & Model Deployment: Engineered the automated MLOps pipeline to bridge the gap between data science and production, streamlining the deployment, monitoring, and scaling of machine learning models.
My journey here began at Episource (acquired by Optum in 2023), leading to a promotion to Data Engineering Manager and culminating in being named Employee of the Year.

CybersecurityAWS cloudData EngineeringMLOpsDevOpsPython

Episource llc

Sr.Software Engineer

Mar 2018 – Aug 2023 · 5 yrs 5 mos

Melvault

Sr.Software Engineer

Aug 2017 – Mar 2018 · 7 mos · Hyderabad

I was a key contributor to an advanced R&D project to build a voice-activated smart assistant system, similar in concept to "Ok Google." My primary focus was on the critical first step of audio intake: ensuring the model could understand commands clearly in real-world environments.
Audio Signal Processing: Engineered and implemented sophisticated algorithms to perform real-time noise reduction and echo cancellation on raw audio data, significantly improving the signal-to-noise ratio by over 30%. using digital signal processing (DSP) and AI.
Machine Learning for Audio: Developed and trained custom machine learning models to distinguish human speech from background noise, a foundational component for the wake-word detection engine.
Core Technology: Utilized Python and libraries such as TensorFlow and Librosa to build and test audio processing pipelines for this smart home assistant project.

Digital Signal ProcessorsMachine LearningAudio Signal ProcessingNoise ReductionWake-Word DetectionTensorFlow+1

Dxc technology

Software Engineer

Aug 2015 – Aug 2017 · 2 yrs · Bengaluru Area, India

I joined the company as Computer Sciences Corporation (CSC), a well-known Fortune 500 organization, which merged to become DXC Technology few months prior to my departure.
Strategic ML Projects (CTO Team): Selected to work directly with the CTO's office on strategic machine learning initiatives, contributing to the development and deployment of a predictive analytics application with high business visibility.
Cloud & DevOps: Built and maintained infrastructure on a Hybrid Cloud (AWS) environment, utilizing DevOps tools like Docker, Ansible and Terraform to automate server provisioning and improve deployment efficiency.