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Data_Logs .exp

> Decrypting career timeline... ||| Accessing memory banks...

Ford Motor Co.

Tech Lead - AI/ML

2024 - PRES
STATUS: ACTIVE

> Conceived, architected, and leading the development of vessel.ai — an agentic AI based engineering copilot that unifies 600+ vehicle features' feature documents, requirements, ECU architectures, signals, functional safety documentation, and test artifacts behind a natural-language interface.

> Engineered a PyTorch based proof-of-concept that ingested documentation for ~10 vehicle features and transformed their specifics into searchable vectors. This helped diagnose activation-logic and dependency insights that validated my idea of an AI-powered feature engineering/analysis chatbot.

> Built a quantitative business case grounded in warranty/recall exposure and engineering labor savings to secure commitment from IT and AI AC teams to build a single, enterprise-scale platform.

> Secured executive sponsorship through data-driven ROI – gave live demos & a detailed cost-benefit model that won backing from LL6 through to LL2 level leaders in the SLC organization.

> Architected and guided the development of technical design: multi-agent stack, a GCS based data lake, ETL pipelines for various source systems, ingestion pipeline for developing vector embeddings, an elastic-search vector database, and a front-end built on React.js.

> Orchestrating a 50-engineer, six-country coalition – running weekly syncs to align feature-team roadmaps, integration milestones, and enterprise AI strategy.

> Authored 230+ production-grade prompts across 17 canonical use-cases. Integrating function-calling & persona tags to enable zero-code tool chaining.

> Launched an early-access program across multiple regions – UK, Germany, India, Australia, Mexico, Brazil, and USA, onboarding 50 engineers from across feature systems engineering, functional safety, and testing teams.

> stack_trace: React.js, Python, Elastic-search, PyTorch, Multi-Agent RAG

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Dataspeed Inc.

Systems & Safety Engineer

2023 - 2024
STATUS: ARCHIVED

Systems Engineering

> Utilized MagicDraw to build SysML models, developing logical and physical architectures for Drive-by-Wire (DBW) systems, including steer-by-wire, throttle-by-wire, brake-by-wire, and shift-by-wire.

> Captured and integrated different OEM vehicle architectures into SysML models to guide software and hardware development, and seamless integration and tracking.

> Engineered and established traceability between hardware requirements, software requirements, logical and physical architectures, FMEAs, FTAs, safety goals, Functional Safety Requirements (FSRs), Technical Safety Requirements (TSRs), and test cases to maintain a digitally traceable chain for design validation.

Safety Engineering

> Used APIS-IQ software to develop Failure Modes and Effects Analyses (FMEAs) and conducted Fault Tree Analyses (FTAs) with MagicDraw for safety-critical applications in DBW integrated OEM vehicles.

> Established safety goals, functional safety requirements (FSRs), and technical safety requirements (TSRs) in compliance with ISO 26262 and ISO/PAS 21448 standards.

> Maintained traceability between safety goals, FSRs, and TSRs, reconciling FMEA and FTA findings to develop and implement necessary changes to software and hardware architectures.

> Developed technical safety concepts and AIAG FMEA Handbook compliant MSR analyses to ensure rigorous safety measures were in place.

Software Development and Testing

> Utilized a ROS2 framework in an Ubuntu environment to aid platform development using C++.

> Wrote and injected fault scenarios using C++ for fault injection testing, strategically placed them within the code for activation during testing.

> Employed the LDRA tool suite for comprehensive code reviews, ensuring code compliance with industry standards.

> Performed static analysis, unit testing, dynamic analysis, system integration testing, and load & stress testing.

Project Management

> Managed five multi-million-dollar contracts, interfacing with internal and external stakeholders to translate client needs into actionable system requirements.

> Handled quotes, purchase orders (POs), invoicing, resource allocation, scheduling, risk management, project documentation, tracking budgets, and managing time spent by different engineering teams.

> stack_trace: ROS2, C++, MagicDraw, FMEA, LDRA

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Ford Motor Co.

MBSE & Simulation

2021 - 2023
STATUS: ARCHIVED

> Interfaced with Ford’s software, vehicle platform systems, manufacturing plant facilities, production IT and cloud teams along with external vendors to design and develop the Autonomous Vehicle Marshalling platform.

> Developed associated logical and technology architectures using SysML modeling elements.

> Broke down primary high-level feature functionalities to elicit software, hardware, functional safety, and cybersecurity requirements at the concept, stakeholder, logical, and technology abstraction levels.

> Led the development of technology functions and established behavioral parameters to conduct thorough FMA and subsequent FMEA analyses.

> Led R&A’s systems engineering research effort on ADAS trailering feature platforms such as PTFG and PTHA.

> Engineered requirements at the stakeholder, concept, logical, and technology levels.

> Conducted functional safety analysis and updated the safety case framework on a cyclical basis as the feature evolved; investigated hazards and analyzed risks for ADAS features under development.

> Developed a centralized ADAS/Autonomy reference architecture model to be used as a single source of truth for various system functions and ADAS features.

> Used Syndeia Intercax to develop an integrated digital thread and establish end-to-end bi-directional traceability between requirements, system models, and test artifacts.

> Used Ansys ModelCenter for concept and architectural space exploration, behavioral simulations, trade-off analysis, identifying design deficiencies, and determining operational ranges for performance requirements.

> stack_trace: SysML, Jama, Ansys ModelCenter, Syndeia Intercax

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Uber ATG

Systems Engineer, MBSE

2019 - 2021
STATUS: ARCHIVED

> Worked as the functional owner of various autonomy capabilities and features to develop system requirements and conduct safety reviews with relevant stakeholders.

> Developed and leveraged various CONOPS, Functional Flow Diagrams, Activity Diagrams, State Machine Diagrams, and Data Flow Diagrams to map logical and physical architecture and derive performance requirements and associated parametric data.

> Conducted System Design Analysis to identify gaps and resolve conflicts in requirements.

> Used SysML to develop operational, functional, performance, and behavioral models for validation and regression testing of ISO26262 compliant safety-related and mission-critical applications.

> Developed SysML models to capture hardware and software architecture at the logical and physical levels.

> Developed and assessed subsystem level FMEAs and FTAs using Ansys Medini.

> Developed and deployed an organization-wide Operational Domain Taxonomy-based V&V Test framework to establish strong end-to-end traceability between requirements, test artifacts, and results.

> Designed, developed, and deployed workflows and test artifacts on the Jira-Xray platform.

> Collaborated with ITENG teams to develop and deploy a complex integrated toolchain consisting of Jama, Jira-XRAY, GitHub, and other in-house tools to optimize test artifact generation, streamline testing workflows, and establish bidirectional traceability with requirements.

> Designed and deployed a complex System of Systems framework to engineer and house system and subsystem-level functional, performance, interface, and safety requirements for various autonomy capabilities.

> stack_trace: SysML, Ansys Medini, Jira-Xray, Jama

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Baxter Int.

Windchill Modeler

2021
STATUS: ARCHIVED

> Worked as a contractor to develop system architectures and models for various medical devices.

> stack_trace: Windchill

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Cornell Robotics

Lead Systems Engineer

2018 - 2019
STATUS: ARCHIVED

> Spearheaded the creation of an innovative modular robotics platform designed to inspire K–12 students to explore robotics.

> Improved a prototype model with trade-off analysis to obtain MVP reconciling various stakeholder requirements.

> Decreased prototyping time by 50%, reducing errors with the creation of interface matrices, decision matrices, and SysML models to establish traceability between various knowledge bases due to the lack of SMEs.

> Eliminated the need for multiple iterations with concept sketches, use case behavioral and activity diagrams, CONOPS, FFBDs and IDEFOs to establish a framework.

> Reduced probability of failure causing a lifetime increase of 4 years, reduced R&D costs by $15K, and an ability to undercut competitor retail prices by $30 per unit by using DFMEAs, FTAs, and six sigma principles.

> Identified, analyzed and mitigated hazards to increase operational safety of product by developing test cases for behavioral and non-behavioral requirements of hardware and software components; used verification cross reference matrices to track requirements’ verification.

> stack_trace: SysML, DFMEA, FTA, Six Sigma

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Apollo Microsystems

Mechanical Design Engineer

2017 - 2018
STATUS: ARCHIVED

> Spearheaded a project for a multinational client overseeing 5 team members and 47 external vendors.

> Closed a $205K contract by gathering customer requirements, eliciting system and subsystem level functional & performance requirements, conducting feasibility analyses, and outlining total project estimates to define a custom solution. Administered this budget.

> Reduced prototype development timelines by utilizing SME’s to oversee electronics, manufacturing, and QC, balancing workloads for focus on system design, prototyping, material procurement, testing, and QA.

> Finished prototyping in under 1-month by using Systems engineering methodologies such as CONOPS, Behavioral Diagrams, Activity Diagrams, FFBDs, IDEF0s, Behavioral and Non-behavioral test procedures, and requirements verification.

> Cut material acquisition costs by $3K through a vendor exclusivity clause for upcoming projects. Saved $2K on 3rd party manufacturing costs by supplying procured material versus using vendor materials.

> Determined probability of product failure, utilizing behavioral and non-behavioral requirements for testing to include FTAs, FMEAs, and HARAs. Obtained an external 3rd party QA assessment.

> stack_trace: FMEA, HARA, CONOPS

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SRM ASV

Team Lead / Sys Integrator

2015 - 2017
STATUS: ARCHIVED

> Led the first India-based team (30 people) to participate in the International Roboboat Competition.

> Secured INR 3.5M ($50K) in funding and INR 500K ($7K) in sponsorship money to design and build an integrated swarm system of an autonomous surface vehicle, autonomous underwater vehicle, and an unmanned aerial vehicle.

> Generated proof of concept in less than 3 months using model-based systems engineering methodologies, concept sketches, use case diagrams, FFBDs, and IDEFOs to reduce R&D and development time.

> Built the architectural framework with navigation, computer vision, and communication protocols on C++, MATLAB, using sensor data from cameras, GPS, IMU, Lidars, and hydrophones to write the programming.

> Completed 1-month ahead of schedule, allowing for additional SIL and HIL testing on data acquisition programs and system-level testing with sensors after integration of software components.

> Increased viability with a sustainable CV program to work in various light conditions through an FMA on the different situations that could obscure vision and developed filtering and enhanced protocols.

> stack_trace: MBSE, C++, MATLAB, Sensor Fusion

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DRDO

R&D Intern

2015
STATUS: ARCHIVED

> Engaged in diverse R&D initiatives—evaluated emerging technologies, built rapid prototypes, and produced detailed mock-ups to advance project development.

> Improved strap-down box strength without sacrificing payload space, optimizing overall structural performance.

> Added precision-engineered ribs and gussets—validated across multiple material, shape, and size trials—to deliver inherent reinforcement and vibration damping for the internal electronics.

> stack_trace: Hardware engineering

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memory MEMORY_BANKS

CMU Logo

Oakland University

Ph.D. Elec & Comp Engineering

2024 - 2029

UMich Logo

Cornell University

M.Eng. Systems Engineering

2018 - 2019

RAM_USAGE 64%

> EDUCATION_OVERFLOW

  • [+] M.S., Computer Science, Oakland University
  • [+] B.Tech, Mechatronics, SRM University
TERM_ID: #8821-X SECURE_CONNECTION LOC: US-EAST-1