Aditya Singh
Senior Software Engineer · Qualcomm · Hyderabad

Aditya Singh

I build Android camera HAL APIs, cut power on mobile chipsets, and write LLM agents that get chip software working sooner.

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Measured results

Less power, shorter test runs

Each bar starts at that metric's baseline. The filled part is what remained after the change.

Baseline (100%) After the change
AR glass CPU powerOffloaded 6DOF, tracking cameras and LSR to other IPs · Qualcomm
−80%
Tracking camera powerSubsystem tuning plus image quality suggestions · Qualcomm
−65%
WLAN chip powerSoftware, firmware and protocol tweaks, KPIs held · Qualcomm
−50%
UI test execution timeProtractor tests across Docker containers · Manhattan Associates
−60%
+20% efficiency in early chip software development, from agentic workflows built at Qualcomm.
Experience

Where I've worked

  1. Dec 2023 – PresentHyderabad

    Senior Software Engineer

    Qualcomm
    • Develop APIs in Qualcomm's Android camera HAL, covering the camera and its features.
    • Built agentic workflows for the initial software development of a chip, raising efficiency by 20% and shortening development time.
    • Built an agentic AI system on the Qgenie LLM that handles first-pass debugging of gaming use cases, so others ramp up on game cases faster and get optimization insights.
    • Analyze and optimize power and performance of mobile games on mobile chipsets, including CPU and GPU optimizations.
    Android camera HALC/C++LLM agentsPower and performance
  2. Jan 2022 – Jul 2023Hyderabad

    Software Engineer

    Qualcomm
    • Analyzed CPU use and optimized power for AR glass use cases. Cut CPU power by 80% by offloading end-to-end tasks that use 6DOF, tracking cameras and LSR to other IPs. The result drew in customers.
    • Cut WLAN chip power by 50% with software, firmware and protocol tweaks (TCP, UDP, ToS, NAL, HEVC) without missing KPIs. Debugged traffic patterns in Wireshark.
    • Cut tracking camera power by 65% and proposed new algorithms for better RGB image quality.
    AR glassesWLANWiresharkCamera subsystem
  3. Sep 2020 – Sep 2021Bengaluru

    Quality Engineer

    Manhattan Associates
    • Designed the data loader feature for placing orders in the vendor component, in Spring Boot.
    • Wrote UI automation in Protractor and added multi-container Docker support, cutting test execution time by 60%.
    • Supported developer and test environments on GCP with Kubernetes, including scaling components and tagging environments.
    • Automated APIs with RestAssured, TestNG and Cucumber, and built cross-component token generation for end-to-end tests.
    • Received the Team Award for contributions to API and UI automation.
    Spring BootDockerKubernetesGCPRestAssured
Skills

What I work with

Languages

C/C++PythonBashSQL

AI and ML

TensorFlowScikit-learnOpenCVComputer visionNLPDeep learning

Automation and tools

DockerKubernetesGitWiresharkRestAssuredProtractor

Foundations

Data structuresAlgorithmsEmbedded systemsMachine learningCross-geo collaboration
Projects

Selected projects

Omdena · Sri Lanka chapter

Tea leaf quality classifier

Built a Flutter app that grades tea leaf quality for Sri Lankan plantations. With other collaborators, I developed a model that detects leaves in an image and then classifies each one, deployed on Azure ML Studio.

FlutterAzure MLComputer vision
Omdena · Egypt chapter

English to Arabic data science translation

Wrote a script that collects English and Arabic YouTube transcripts into a parallel corpus, used to fine-tune a Helsinki-NLP model. A Python post-process step finds untranslated acronyms and appends their Arabic translation.

NLPPythonFine-tuning
Capstone · VIT

IoT smart transportation system

An intelligent vehicle system that helps prevent car theft and allows remote control. Built from Arduino, an L293D motor driver, GSM, an EM-18 RFID reader with tags, and GPS.

ArduinoRFIDGSMGPS
Research and education

Papers, degrees, certificates

2022

Combating Depression Through the Neural Analysis of Web Behavior

Srivatsa, S., Singh, A., Singh, P.K. · Hybrid Intelligent Systems, HIS 2021 · Lecture Notes in Networks and Systems, vol 420, Springer
doi.org/10.1007/978-3-030-96305-7_12
2022

Multi-label personality trait identification from text

Mishra, N.K., Singh, A., Singh, P.K. · Multimedia Tools and Applications 81, 21503–21519
doi.org/10.1007/s11042-022-12548-1

Executive M.Tech, Cloud Computing

IIT Patna

Jan 2025 – Present

B.Tech, Information Technology

Vellore Institute of Technology · CGPA 8.62 / 10

Jul 2016 – Jun 2020