Rajan Yadav

Rajan Yadav

Software Engineering Intern 3 | ARM Systems & Infrastructure | EDS/ADS @ Keysight Technologies

About

High-Performance Systems Engineer turned AI Researcher.I am a Computer Science Master’s student (GPA 4.0) bridging the gap between Low-Level Systems Engineering and Agentic AI.Previously, I was a Product Development Engineer (SDE-II) at Comcast, where I architected the Voice Guidance ecosystem for millions of X1/Flex devices. I specialize in building robust, scalable software that runs efficiently on constrained hardware.Engineering Highlights (Ex-Comcast):Voice AI Architecture: Architected "Firebolt," a C++ protocol adapter enabling 300+ OTT apps (Netflix, YouTube) to interface with the Voice Guidance engine via JSON-RPC.Embedded Optimization: Maintained WPE-WebKit internals and GStreamer pipelines, resolving complex race conditions and reducing system startup latency by 1.5s across Realtek & Broadcom SoCs.Global Scale: Led the technical rollout of accessibility features for the UK, Italy, and Germany (EAA Compliance), supporting 200+ ARIA-labeled apps.Current Research (MS CS @ UTPB):Thesis: Architecting Agentic AI Systems—focusing on autonomous reasoning, planning, and execution workflows for LLMs.Mentorship: As a Graduate Assistant, I mentor engineering undergraduates on Linux build systems, Yocto/BitBake cross-compilation, and diagnosing ARM-based runtime issues.Technical Arsenal:Languages: C++ (14/17), Python, JavaScript, Shell Scripting.Systems: WPE-WebKit, GStreamer, Yocto, BitBake, Linux (Systemd), IPC.AI/ML: PyTorch, TensorFlow, LLMs (Transformers), LangChain, RAG.Tools: GDB, Valgrind, ASan/TSan, GoogleTest, Docker, Git.Looking For:I am seeking Software Engineering Internships (Summer 2026) in AI Infrastructure, Embedded Systems, or Media Technologies.

Country

United States

City

Santa Rosa

Industry

Computer Software

Skill

ARM Architecture, Remote Procedure Call (RPC), SQLite, Virtual Machines, Elasticsearch, Database Management System (DBMS), Data Analysis, Data Visualization, CUDA, GPU Programming, PyTorch Internals, TensorRT, ONNX Runtime, LLM Inference, KV-Cache Optimization, Kernel Fusion, Quantization (INT8, FP16), Multi-GPU Inference, Performance Profiling, TensorFlow

Experience

Keysight Technologies

Software Engineering Intern 3 | ARM Systems & Infrastructure | EDS/ADS

Keysight Technologies

LinkedIn
2026-5 - Present · 5 mos

United States

Migration of Design Engineering Software (DES) on ARM based Linux platform.

The University of Texas Permian Basin

Graduate Assistant | Technical Operations & Mentorship

The University of Texas Permian Basin

LinkedIn
2026-1 - 2026-5 · 5 mos

United States

- Systems Engineering Mentorship: Mentor undergraduate teams on Linux build systems and Yocto-based cross-compilation, guiding ARM-based projects and diagnosing complex build/runtime dependencies. - Platform Administration: Serve as the technical administrator for the Watermark institutional platform, managing faculty data workflows and ensuring system compliance for the College of Business. - Operational Strategy: Support the Department Director in executing strategic academic initiatives, utilizing data analytics to optimize administrative processes and student success metrics.

The University of Texas Permian Basin

Work Student

The University of Texas Permian Basin

LinkedIn
2025-8 - 2026-1 · 6 mos

United States

- Search System Optimization: Contributed to the optimization of Falcon Finder, the university’s central research discovery tool, improving search query accuracy for books, journals, and academic articles. - High-Performance Computing (HPC) Support: Managed and maintained high-performance workstations dedicated for Machine Learning training and simulation tasks, ensuring GPU availability and system stability for research students. - IT Asset Management: Administered the Alma Library Services Platform (LSP) to manage digital and physical assets (laptops, hotspots), performing hardware troubleshooting and diagnostics for student devices. - Technical Support: Provided Tier-1 technical assistance to university patrons, resolving connectivity issues and software configuration errors on borrowed hardware.

Comcast

Product Development Engineer 2 | Voice AI & Accessibility (Voice Guidance)

Comcast

LinkedIn
2023-4 - 2025-7 · 2 yrs 4 mos

India

Core Architecture & Framework Design (C++ / WPEFramework) - Protocol Architecture (Firebolt): Architected the Firebolt adapter in C++, enabling 300+ apps (Netflix, YouTube) to interface with the Thunder (WPEFramework) TTS service. - Accessibility Middleware: Optimized RDK-AT to bridge WebKit/ATK with the TTS backend, onboarding 200+ ARIA-labeled apps via precise DOM focus mapping. - OS Migration: Led the architectural migration of Voice Guidance from legacy RDK-V to EntertainmentOS (RDKE), ensuring zero-downtime stability. Audio Systems & Smart TV Ecosystem - Unified Audio HAL: Engineered a hardware-agnostic audio layer for Realtek, Broadcom, Amlogic, and MediaTek SoCs, abstracting dependencies for a unified codebase. - Smart TV Integration: Deployed Voice Guidance on Sky Glass, Xumo (ES1/XiOne), and partner OEM panels (Hisense, Sharp, Element, Cello, Westinghouse). - Audio Ducking: Implemented system-level audio mixing using GStreamer, managing dynamic pipelines to auto-lower media volume during TTS playback. Global Strategy, Quality & Compliance - QA Strategy: Devised the master test plan for multi-region validation (US/UK/EU), ensuring feature parity across Apache (2K/4K) reference boards and commercial devices. - Global Rollout: Directed Voice Guidance launch in UK, Italy, and Germany (EAA mandates) and maintained US ADA compliance. - Reliability: Resolved 100+ concurrency/memory defects using GDB, Valgrind, ASan, and TSan, increasing test coverage from 10% to 80%.

Comcast

Product Development Engineer 1 | Embedded Systems & WebKit Internals

Comcast

LinkedIn
2021-7 - 2023-4 · 1 yr 10 mos

Chennai, Tamil Nadu, India

Core Platform Engineering (X1 & Flex Ecosystems) - WPE-WebKit Engine Mastery: Maintained and optimized the C++ source of the WPE-WebKit browser engine, the primary runtime for the X1, Flex 1, and Flex 2 platforms, supporting a catalog of 300+ OTT apps (Netflix, YouTube, Peacock) across tens of millions of devices. - Upstream Open Source Contributions: Identified and upstreamed critical stability fixes to the official WPE-WebKit repository, specifically resolving complex race conditions, deadlocks, and engine-level crashes. - Memory & Concurrency Hardening: Debugged kernel-level heap fragmentation and memory leaks in multi-threaded environments using Valgrind and GDB, significantly reducing OOM (Out of Memory) incidents. Multimedia Architecture & Strategic Integrations - Streaming Pipeline & DRM Orchestration: Architected and tuned GStreamer/FFmpeg plugins for high-fidelity AV synchronization. Enforced strict MSE/EME compliance, integrating and debugging multi-DRM systems (Widevine, PlayReady) for secure, commercial-grade 4K/HDR streaming. - High-Profile Integration: Engineered the platform-level integration for Nintendo services and third-party gaming SDKs, optimizing graphics rendering and input handling for the X1 ecosystem. - Next-Gen R&D: Developed a Hand Gesture Control System PoC for the Sky Llama platform, bridging computer vision sensor data with the browser’s input layer for touchless UI navigation. Silicon-Level Optimization & Diagnostics - SOC-Specific Optimization: Validated and tuned performance across Broadcom and Realtek chipsets, managing hardware-accelerated decoding for the full device fleet: - Modern Platforms: Sercomm XiOne, Sky Llama Panel, Sky STB, Technicolor Xi6. - Legacy Platforms: Arris XG1v3/v4, Pace XG1v3/XG2v2. - Deep-Dive Diagnostics: Leveraged system profilers and custom telemetry to resolve 80% of playback-blocking issues and optimize web app local caching, reducing cold-boot latency and network I/O.

Education

The University of Texas Permian Basin

The University of Texas Permian Basin

LinkedIn

Computer Science

2025-8 - 2027-5 · 1 yr 10 mos

Fall 2025: - Deep Learning - Analysis of Algorithms - Wireless Security Spring 2026: - Distributed Systems - Networking - Thesis ( Agentic AI Systems)

Motilal Nehru National Institute Of Technology

Motilal Nehru National Institute Of Technology

LinkedIn

Computer Science

2017 - 2021 · 4 yrs

- Data Structure - Analysis of Algorithm - Operating Systems - Object Oriented Programming (Java) - Object Oriented Modelling - Microprocessor - Computer Architecture - Distributed Systems - Databases (RDBMS) - Networking

Rajan Yadav's Contact Information

Email

******@***.com

Phone

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