Eswara Venkata Kumar Dhulipala profile photo 1 on Tal

Eswara Venkata Kumar Dhulipala

Advanced Software Engineer | Aptiv || PhD | Indian Institute of Technology Delhi

Bengaluru

5+ years of work experience

Aptiv
Dec 20241 yr 11 mosPresent

Bengaluru, Karnataka, India

Working on production autonomous parking Slot Planner within ADAS parking stack. Contributing to enhancement and validation of parking trajectory generation functionality for robust parking maneuvers in changing environments. Supporting trajectory planning and dynamic replanning workflows from current vehicle pose to target parking slot position. Performing replay-based debugging and root-cause analysis using real vehicle logs collected from test vehicles. Collaborating with perception teams to improve free-space understanding and parking robustness. Contributed to lane change and hands-free lane change feature analysis using MATLAB/Simulink-based simulation models. Experience with vehicle validation activities, ultrasonic sensor diagnostics, and planning software testing using C++ and GoogleTest.
KPIT
Apr 20231 yr 8 mosNov 2024

Bengaluru, Karnataka, India

Contributed to development of vehicle state estimation algorithms for ADAS and autonomous driving applications using MATLAB and Simulink. Developed a component of vehicle state estimation algorithm achieving approximately 95% accuracy compared to ground truth data. Worked extensively on Model-Based Development (MBD), simulation-driven validation, and MIL/SIL workflows. Integrated estimation modules with downstream control functions using MATLAB, Simulink, and Carmaker. Supported debugging, validation, release-readiness, and cross-functional integration activities for automotive software modules.
Skill-Lync
Nov 20226 mosApr 2023

Chennai, Tamil Nadu, India

Delivered technical training and support on MATLAB, Simulink, control systems, path planning, and autonomous vehicle concepts. Guided engineers and students on model-based algorithm implementation, simulation workflows, and automotive system development projects.
Indian Institute of Technology, Delhi
Jul 20181 yr 10 mosApr 2020

Delhi, India

● Delivered lectures on control systems to undergraduate students, ensuring clarity, engagement, and comprehension of course material. ● Conducted control systems lab sessions for undergraduate students, providing hands-on learning experiences and practical application of theoretical concepts. ● Fostered a supportive and interactive learning environment, encouraging student participation, addressing questions and concerns, and providing additional assistance as needed. ● Designed and administered assessments to evaluate student understanding and proficiency in control systems concepts, providing feedback and guidance for improvement.
GitHub
@eswara-venkata-kumar-dhulipala

Eswara’s AI Stack

claude
claude
codex
codex
gemini
gemini
openai
openai
ChatGPT
ChatGPT
Microsoft Copilot
Microsoft Copilot

Education

Indian Institute of Technology, Delhi

Doctor of Philosophy (Ph.D.), Control and Automation

Indian Institute of Technology, Delhi

20178 yrs2025

Master of Technology (MTech), Modelling and simulation,Robotics,Control systems

Defence Institute of Advanced Technology

20142 yrs2016

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Headline

Advanced Software Engineer | Aptiv || PhD | Indian Institute of Technology Delhi

About

Senior ADAS and Algorithm Engineer with industry experience at Aptiv and KPIT Technologies specializing in autonomous parking, vehicle state estimation, motion planning, path planning, and simulation-driven development for automotive applications. PhD-qualified engineer with strong expertise in MATLAB, Simulink, Model-Based Development (MBD), MIL/SIL workflows, control systems, and ADAS algorithm validation. Experienced in production autonomous parking systems involving trajectory generation, dynamic replanning, vehicle log analysis, debugging, and cross-functional integration across simulation and vehicle environments. Working knowledge of C++, Stateflow, embedded code generation workflows, and automotive software testing methodologies. Strong analytical and problem-solving skills with research background in optimization and path planning algorithms.

Location

Bengaluru

AI stack

claude

codex

gemini

openai

ChatGPT

Microsoft Copilot

Work experience

Advanced Software Engineer at Aptiv, Dec 2024 - Present · 1 yr 11 mos, Bengaluru, Karnataka, India, Working on production autonomous parking Slot Planner within ADAS parking stack. Contributing to enhancement and validation of parking trajectory generation functionality for robust parking maneuvers in changing environments. Supporting trajectory planning and dynamic replanning workflows from current vehicle pose to target parking slot position. Performing replay-based debugging and root-cause analysis using real vehicle logs collected from test vehicles. Collaborating with perception teams to improve free-space understanding and parking robustness. Contributed to lane change and hands-free lane change feature analysis using MATLAB/Simulink-based simulation models. Experience with vehicle validation activities, ultrasonic sensor diagnostics, and planning software testing using C++ and GoogleTest.

Senior Development Specialist at KPIT, Apr 2023 - Nov 2024 · 1 yr 8 mos, Bengaluru, Karnataka, India, Contributed to development of vehicle state estimation algorithms for ADAS and autonomous driving applications using MATLAB and Simulink. Developed a component of vehicle state estimation algorithm achieving approximately 95% accuracy compared to ground truth data. Worked extensively on Model-Based Development (MBD), simulation-driven validation, and MIL/SIL workflows. Integrated estimation modules with downstream control functions using MATLAB, Simulink, and Carmaker. Supported debugging, validation, release-readiness, and cross-functional integration activities for automotive software modules.

Senior Technical Support Engineer at Skill-Lync, Nov 2022 - Apr 2023 · 6 mos, Chennai, Tamil Nadu, India, Delivered technical training and support on MATLAB, Simulink, control systems, path planning, and autonomous vehicle concepts. Guided engineers and students on model-based algorithm implementation, simulation workflows, and automotive system development projects.

Teaching assistant, Department of Electrical Engineering at Indian Institute of Technology, Delhi, Jul 2018 - Apr 2020 · 1 yr 10 mos, Delhi, India, ● Delivered lectures on control systems to undergraduate students, ensuring clarity, engagement, and comprehension of course material. ● Conducted control systems lab sessions for undergraduate students, providing hands-on learning experiences and practical application of theoretical concepts. ● Fostered a supportive and interactive learning environment, encouraging student participation, addressing questions and concerns, and providing additional assistance as needed. ● Designed and administered assessments to evaluate student understanding and proficiency in control systems concepts, providing feedback and guidance for improvement.

Education

Doctor of Philosophy (Ph.D.), Control and Automation, Indian Institute of Technology, Delhi

Master of Technology (MTech), Modelling and simulation,Robotics,Control systems, Defence Institute of Advanced Technology

Public links

github: https://github.com/eswara-venkata-kumar-dhulipala