resume profile picture
Arindam Chatterjee Software Engineer
Email
[email protected]
Phone
7001730528
Location
Bangalore, India
2000-03-28
Indian
Male
Portfolio
Linkedin
Profile

Lead-track Software Engineer with 4+ years of experience designing and securing large-scale, production-grade systems across embedded Linux, networking, automotive platforms, and cybersecurity. Proven expertise in C++ systems programming, Linux internals, distributed services, and security architecture, with hands-on ownership of ISO 21434 / WP.29 compliant platforms deployed in real vehicle programs. Strong background in system design, data structures, threat modeling, and applied AI/ML for security, with demonstrated leadership in driving architecture decisions and mentoring teams.

→ Professional Experience

Software Engineer

Harman International
02/2022 – 01/2026 | Bangalore, India

Platform, Systems & Security Architecture

  • •Designed and implemented platform-level security architecture across embedded Linux systems, including SELinux policy design, sandboxing, kernel hardening, secure boot, and system isolation, reducing exploitable attack surface by 60%+.
  • •Owned automotive cybersecurity compliance across production programs, implementing controls aligned with ISO 21434, WP.29 (UNECE R155), TARA, ISO/IEC 27001, ISO/IEC 27033 (network security).
  • •Performed threat modeling and risk assessment for in-vehicle and backend communication flows, influencing architecture and design decisions early in the SDLC.

    • Distributed Systems & High-Performance C++ (Linux)

  • •Architected and developed a Wi-Fi Manager service in C++ for Qualcomm QCA6574, handling multithreading, concurrency control, IPC (ZMQ), JSON parsing (cJSON), fault tolerance, and recovery in production infotainment systems.
  • •Designed Wake-Up-over-IP functionality enabling remote vehicle activation, collaborating with OEMs and vendors to align protocol behavior, timing constraints, and power management.
  • •Built resilient Linux services with strong focus on memory management, performance optimization, and failure handling.

    • Networking & Network Security

  • •Designed and enforced network segmentation and isolation using iptables, routing policies, VPN (IPSec / OpenVPN), and Fortinet firewalls across in-vehicle and backend networks.
  • •Worked deeply with TCP/IP, DNS, routing, QoS, NAT, firewall rules, and secure communication channels, ensuring low latency and high reliability.
  • •Supported secure OTA, telemetry, and backend connectivity with strong authentication and encryption practices.

    • Security Engineering, Detection & AI-Driven Monitoring

  • •Contributed to the design and implementation of Automotive IDPS, improving detection accuracy by ~40% using traffic profiling and rule tuning.
  • •Built and maintained Red Team / Blue Team environments using Wazuh, Caldera, SIEM, enabling continuous attack simulation and defense validation.
  • •Applied machine learning techniques (anomaly detection, behavioral analysis) to security telemetry for identifying suspicious patterns and zero-day indicators.

    • DevOps, Reliability & Observability

  • •Owned end-to-end validation of TCU features (GPS, FOTA, DataCall, Wi-Fi), preventing critical defects before production release.
  • •Automated secure demo, testing, and validation pipelines using Linux, shell scripting, Docker, Git, and CI/CD, reducing setup time by ~70%.
  • •Integrated logging, monitoring, and alerting pipelines for system health and security events.

    • Leadership & Technical Ownership

  • •Led a 4-member engineering team, driving sprint planning, design reviews, code quality, and on-time delivery of security-critical components.
  • •Regularly presented system architecture, threat models, and design trade-offs to senior stakeholders, customers, and cross-functional teams.
    • 1 / 3

    Intern

    HighRadius
    07/2021 – 08/2021 | Hyderabad, India
  • •Optimized complex SQL queries for large-scale fintech platforms, improving performance and reliability.
  • •Assisted in building AI-driven automation pipelines for financial workflows, gaining early exposure to applied ML systems.
    • Education

    B.Tech - Computer Science & Engineering

    JIS College of Engineering
    2018 – 2022 | Kolkata, India
    Skills
    Programming, Systems & CS Foundations

    C, C++, Python, Shell | Data Structures & Algorithms | Multithreading | Concurrency | Memory Management | OOP | System Design

    Platforms, Networking & Distributed Systems

    Linux Internals, Embedded Linux, Yocto, Systemd | TCP/IP, DNS, Routing, QoS | IPC (ZMQ), Client-Server Architecture | Fault Tolerance | High Availability

    AI / ML & GenAI (Applied)

    Python for ML | NumPy | Pandas | Scikit-learn | TensorFlow (basics) | PyTorch (basics) | Anomaly Detection | Behavioral Modeling | Time-Series Analysis | GenAI Fundamentals (LLMs, Prompt Engineering, RAG concepts) | AI-assisted Threat Detection | Secure AI Usage

    Security, Cryptography, Compliance & Architecture

    Automotive Cybersecurity | Secure Boot | Trusted Execution Concepts |Cryptography (AES, RSA, ECC, SHA-2, HMAC) | PKI | Certificate Management | Key Management | TLS/SSL | Secure Communication Protocols |SELinux | Kernel & System Hardening | Sandboxing | Access Control Models |IDPS | SIEM | Threat Modeling | Attack Surface Analysis | MITRE ATT&CK |ISO 21434 | WP.29 (UNECE R155) | ISO/IEC 27001 (Enterprise security) | ISO/IEC 27033 (Network Security) | ISO/IEC 27039 | TARA

    Tools & Frameworks

    ZMQ | cJSON | Wazuh | Caldera | Splunk | iptables | OpenVPN | IPSec | Fortinet Firewall

    Cloud, DevOps & Observability

    AWS (EC2, IAM) | Docker | Git | CI/CD | Logging & Monitoring | JIRA

    Projects

    Ready Secure - Zero-Day Attack Prevention Platform

  • •Built an end-to-end automotive cybersecurity solution targeting zero-day threats.
  • •Designed IDPS, SIEM, and XDR pipelines with real-time monitoring.
  • •Implemented ML-based anomaly detection and visualization for threat insights.
  • •Integrated secure VPN routing and telemetry pipelines.

    • Product Recommendation System

  • •Built recommendation engine using Python, KNN, and collaborative filtering.
  • •Implemented popularity-based and behavior-driven recommendation strategies.
    • Awards
  • •Research Publication (Springer) — A Popularity-Based Recommendation System Using Machine Learning
  • •⭐ HackerRank 5-Star (C++) — Advanced problem-solving and performance-critical programming
  • •🏅 Customer Excellence Award — Delivered secure, production-grade platforms to 5+ enterprise customers
  • •🎯 Security Engineering Excellence — Recognized for measurable security improvements and compliance delivery
  • •🚀 Leadership & Ownership Recognition — Trusted to own and deliver security-critical components end-to-end
    • 2 / 3