Ankit More
Software Engineer developing performance-sensitive C++ and Rust components for an automotive vehicle-data platform. Work spans real-time vehicle signal collection (CAN, Ethernet/NM, location, ignition, acceleration), vehicle logging and tracing, and cross-module debugging in Software-Defined Vehicle (SDV) environments, with a focus on performance, reliability, and high concurrency.
Strong foundation in Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, and Distributed Systems. Solved 600+ competitive programming problems and published research in Generative AI.
Experience
Software Engineer
Sonatus
India
Architected & Owned Collector Modules: Led software development for the data collector tier of an automotive telemetry platform, ingesting and processing high-frequency signals across CAN, Automotive Ethernet/NM, GPS, ignition, and IMU/acceleration sensors.
High-Performance Services: Developed and optimized low-latency, highly concurrent vehicle-data microservices in C++ and Rust, ensuring strict memory safety, low resource utilization, and high reliability.
End-to-End Log & Trace Ownership: Owned the vehicle-side Log & Trace framework, managing lifecycle generation, edge collection, and structured processing to accelerate root-cause analysis for field and system issues.
Real-Time Telematics Pipelines: Built scalable, real-time data pipelines and integrated automated test infrastructure to ensure seamless transmission and integrity of critical vehicle telemetry.
Cross-Functional SDV Debugging: Collaborated with cross-functional teams to trace end-to-end data flows, diagnose anomalies, and resolve complex defects within Software-Defined Vehicle (SDV) architectures.
Education
Army Institute of Technology, Pune
Bachelor's in Computer Engineering
B.E. in Computer Engineering | 8.5 SGPA
- PMSS Scholarship recipient for 4 years
- Secretary, R&D Cell — mentored 200+ students and led technical initiatives
- 99% attendance record; selected for a 3-day academic event at IIT Madras
- Coursework: Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks, AI, Distributed Systems
Skills
CANEthernetNMVehicle Data CollectionTelematicsReal-Time Vehicle SignalsSoftware-Defined VehiclesData Structures & AlgorithmsObject-Oriented ProgrammingMultithreading &ConcurrencyDebuggingObservabilitySQLMyPostgreMongoDBRESTful MicroservicesGitDockerKubernetesAWSGCPCICD
Projects
Optima – AI Productivity Intelligence Platform
Researcher | AI/Software Engineering
Architected a two-tier AI productivity intelligence platform to measure AI adoption, engineering productivity, and development impact across Jira, GitHub, and Confluence workflows. Designed an MCP-based integration architecture for secure ingestion, parsing, normalization, and auditing of engineering data across multiple enterprise sources. Developed engineering analytics including Time-to-First-Commit, Story Point Elasticity, Ghost Code Churn, Code Complexity, and Cost-to-Impact, enabling data-driven evaluation of AI-assisted development. Built an analytics layer to correlate AI usage with software engineering outcomes, supporting productivity measurement, engineering optimization, and AI investment decisions.
Atelier – Multi-Agent Virtual CFO Platform
Agentic AI flow | System Architect
Built a multi-agent AI system that analyzes garment images and market data to generate produce/don’t-produce recommendations through a 4-agent pipeline. Implemented specialized Gemini + Google ADK agents for Image Analysis, Sourcing, Market Research, and Optimization, with structured inter-agent communication and task delegation. Designed sequential, parallel, and loop-based agent orchestration to iteratively refine recommendations against target business objectives. Integrated multimodal AI and market intelligence into an automated decision pipeline, demonstrating agentic AI, workflow orchestration, and autonomous reasoning for business applications.