Ashish Kumar — Senior Software Engineer

Qualcomm’s IoT landscape is where my expertise in RTOS, display systems, and driver integration thrives. As a Senior Software Engineer, I drive end-to-end development and validation of audio and display software, enabling critical features across voice calls, media playback, and Always-On Display. My educational foundation—rooted in a Master’s in Computer Science from NIT Calicut—strengthens my system-level thinking, advanced programming skills, and algorithmic understanding, shaping the way I design and optimize embedded solutions. Significant Display Contributions In the display domain, I have made substantial technical contributions, including: Display driver development and debugging, enabling major features such as HDMI bring-up, DSI Splitter functionality, and Variable Refresh Rate (VRR) support. Resolution of critical display kernel mode driver issues, driving improvements in stability, performance, and feature readiness. Acting as a key point of contact for display software, collaborating with cross-functional and external teams to ensure smooth integration and delivery. Strengths & Unique Skills Strong analytical and debugging capabilities, demonstrated during complex bring-ups and feature validations. Exceptional ownership and accountability, consistently ensuring timely and high-quality solutions. Clear and effective cross-functional communication, enabling alignment across hardware, firmware, and partner teams. At Qualcomm, my work extends beyond engineering execution—it's about pushing the boundaries of IoT audio and display technologies. From improving silicon-on-dock performance to enhancing user experiences, I remain committed to innovation, collaboration, and continuous improvement. Looking ahead, I aim to further integrate modern machine learning approaches into embedded system design, helping drive the next wave of intelligent, high-performance IoT solutions.

Stackforce AI infers this person is a skilled engineer in IoT and embedded systems with a focus on audio and display technologies.

Location: Hyderabad, Telangana, India

Experience: 6 yrs 5 mos

Skills

Device Drivers
Display Systems
Project Management
Audio Software Development
Embedded Systems
Machine Learning
Teaching Assistance

Career Highlights

Expert in display driver development and debugging.
Strong analytical skills in audio software validation.
Proven ability to mentor and lead junior engineers.

Work Experience

Qualcomm

Senior Software Engineer (2 yrs 8 mos)

Software Engineer (3 yrs 2 mos)

Computer Science and Engineering Association (CSEA), NIT Calicut

Teaching Assistant (7 mos)

Education

Master's degree at National Institute of Technology Calicut

Bachelor of Engineering - BE at The National Institute Of Engineering, Mysore

Ashish Kumar

Senior Software Engineer

Hyderabad, Telangana, India6 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in display driver development and debugging.
Strong analytical skills in audio software validation.
Proven ability to mentor and lead junior engineers.

Stackforce AI infers this person is a skilled engineer in IoT and embedded systems with a focus on audio and display technologies.

Contact

Skills

Core Skills

Device DriversDisplay SystemsProject ManagementAudio Software DevelopmentEmbedded SystemsMachine LearningTeaching Assistance

Other Skills

MDPDebuggingData StructuresDBMSRTOSAudio ProcessingImage ProcessingC++Operating SystemsPanel timing developmentLauntiumDRMGPIOComputer ScienceTensorFlow

About

Experience

6 yrs 5 mos

Total Experience

3 yrs 2 mos

Average Tenure

5 yrs 10 mos

Current Experience

Qualcomm

2 roles

Senior Software Engineer

Promoted

Oct 2023 – Present · 2 yrs 8 mos · Hyderabad, Telangana, India · On-site

In my role as a Senior SDE at Qualcomm in Hyderabad, Display driver development and debugging, enabling major features such as HDMI bring-up, DSI Splitter functionality, and Variable Refresh Rate (VRR) support.
Resolution of critical display kernel mode driver issues, driving improvements in stability, performance, and feature readiness.
Driving new chipset programs from pre-SIL to customer release milestones, ensuring smooth progression through key engineering phases—from early feature validation to commercialisation readiness.
Actively mentoring freshers and junior engineers, guiding debugging methodologies, system understanding, and best engineering practices.
Acting as a key point of contact for display software, collaborating with cross-functional and external teams to ensure smooth integration and delivery.

Device DriversMDPDisplay Systems

Software Engineer

Jul 2020 – Sep 2023 · 3 yrs 2 mos · Hyderabad, Telangana, India · On-site

As a Software Engineer in the IOT audio Software Dev team. The role was the primary point of contact for audio Use cases(Voice Call, playback). I have experience in the Development of RTOS audio parser (mp3/Wav format), speaker drivers for IOT PL.
I have taken care of Silicon On Dock bring up(Voice call, Recording). I have experience with the full SDLC of Feature, where I got the opportunity to develop and done L0 validation, which was satisfactory to execute. Overcame fixing HW bug with SW workaround and debugging mostly performance issues, audio mute, and clip noise issue.
Got hands-on experience in Amazon Apparel recommended system using NLP technique: (word2vec, tfidf /& Bag Of Words, self-driving car using CNN +RNN, Music Generation using char-RNN, Image segmentation using U-NET.
Developed a U-Net-based deep learning architecture on a fixed set of CT and contoured image slices of each patient, grouped for fast and precise classification of image pixels to get optimal radiation dose distributions.
I have developed a deep learning ML model which will predict the type of crops(organic/inorganic/animal edible crop) that is being raised by farmers using different sensor data like how much time irrigation is done, the type of soil, no of times fertilizers are used, and different crop cultivation situations.
Using image processing and DL approach, able to design a couple of CNN model which helps in identifying malignant(cancer cell) in DICOM images.

Data StructuresDBMSAudio Software DevelopmentEmbedded Systems