Ashutosh Kumar
Propelling innovation through forward-thinking strategies, autonomous systems and ML/AI solutions in Data Science.
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Summary: Senior Engineer with 3.5+ years of experience in robotics, autonomous systems, GenAI, and computer vision — building AI/ML solutions using Python and deep learning.
As a passionate engineer leading in ADAS and Autonomous Driving technologies, I bring over 3.5+ years of hands-on experience working on real-world systems that power the future of mobility. My contributions span the development and validation of Level 1–5 ADAS and V2X Robo Taxi systems, with a keen focus on scenario generation, test automation, and perception-prediction root cause analysis.
My unique edge lies in blending automotive engineering with cutting-edge AI and Machine Learning. I hold multiple certifications in Python, Data Analysis, Generative AI, Machine Learning (PyTorch, Scikit-learn), and Computer Vision (OpenCV), actively applying this knowledge to design smarter, AI-enhanced testing frameworks for autonomous systems. I am driven to contribute to projects that push the boundaries of intelligent transportation, where software, AI, and safety converge to create impactful innovation.
Core Strengths: Integrating AI and Data for Autonomous Systems — enabling intelligent mobility with simulation-driven insights
Scenario-Based Test Creation
Expertise in developing comprehensive test scenarios for Autonomous Vehicles (AVs) and Advanced Driver-Assistance Systems (ADAS).
Embedded Systems
Proficiency in quality assurance for embedded systems, utilizing tools like CAN, DOORS, Git, and Jira for robust validation.
Python Automation & AI Test Scripting
Leveraging Python for automation and crafting AI-assisted test scripts to enhance efficiency and coverage in testing autonomous systems.
Root-Cause Analysis & Collaboration
Skilled in meticulous root-cause analysis and fostering effective cross-functional collaboration to resolve complex issues swiftly.
Continuous Learning & Innovation
Dedicated to continuous learning in AI, Machine Learning, and cloud tools, staying at the forefront of technological advancements.
Professional Journey at Tata Elxsi Ltd
Senior Engineer
January 2024 - Present (1 year 8 months)
Bengaluru, Karnataka, India
  • Led critical aspects of ADAS and Autonomous Driving system validation, enhancing testing methodologies.
  • Mentored junior engineers, fostering a culture of technical excellence and innovation.
  • Contributed to strategic planning for advanced driver assistance features and predictive analytics.
Engineer
November 2021 - December 2023 (2 years 2 months)
Bangalore, Karnataka, India
  • Developed and executed test automation scripts for ADAS and V2X Robo Taxi systems.
  • Performed perception-prediction root cause analysis to identify and rectify system anomalies.
  • Collaborated with cross-functional teams to integrate new features and ensure system robustness.
Throughout my tenure at Tata Elxsi, I have consistently driven initiatives to enhance the reliability and performance of autonomous driving systems, from foundational engineering to advanced validation techniques.
Key Projects and Contributions
My work has focused on the practical application of advanced technologies to solve complex problems in autonomous driving.
Fully Autonomous Robo-Taxi System
Development, Verification & Validation
Worked on SoC-level perception and prediction modules, simulation testing, sensor fusion analysis, and synthetic scenario generation to ensure robust performance of L4-L5 autonomous systems.
Perception-Prediction Analysis
Conducted root cause analysis on perception and prediction modules using LiDAR and camera data, identifying critical issues and improving model accuracy and reliability. Leveraged data-driven insights to optimize sensor fusion algorithms and object detection performance.
AI-Enhanced Test Frameworks
Built intelligent test frameworks leveraging Python, scikit-learn, and deep learning libraries to automate scenario-based test case generation, significantly reducing manual effort and boosting test efficiency in autonomous systems.
Achievements
Automation Framework Contributor:
Developed Python-based automation tools that reduced analysis time by 40% and enabled continuous validation for ADAS SoC systems.
Synthetic Data Scenario Generation:
Integrated generative AI assistants to auto-generate edge-case synthetic scenarios, enhancing model validation efficiency by 50%.
Award Recognition:
Honored with the Extra Mile Award at Tata Elxsi Ltd for impactful contributions to predictive, data-driven analysis in autonomous vehicle projects.
Technical Proficiencies
Programming & Scripting
Proficient in Python (Advanced), with strong SQL skills and hands-on experience in simulation and C for development and scripting tasks.
Tools & Technologies
Skilled in automotive and project management tools including Carla (simulator), CAN, IBM DOORS, JIRA, Git, Power BI, and Looker, along with ML frameworks like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS and Azure for scalable AI/ML development and deployment.
AI/ML & Data
Expertise in cutting-edge AI/ML domains including Generative AI (LLMs, Hugging Face), LSTM-based predictive modeling, time series forecasting, deep learning, computer vision (OpenCV), and data-driven predictive analysis.
Education & Certifications
My academic foundation and continuous professional development underscore my commitment to staying at the forefront of technology.
University of Engineering & Management Kolkata
Bachelor of Technology - B.Tech CSE
Computer Science and Engineering - 8.6 CGPA
(2017 - 2021)
Focused on core computer science principles with an emphasis on algorithms, data structures, and software engineering, preparing me for complex technical challenges.
Connect with Ashutosh
Join me in the realm of AI, machine learning, and automotive systems for impactful collaborations.
Open to career opportunities. Based in Bengaluru, India, and passionate about solving real-world problems with AI and data science.
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