Prateeksha Ranjan

Software Engineer

Irvine, California, United States2 yrs 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Reduced deployment time from hours to minutes.
  • Engineered high-throughput systems with 99.8% reliability.
  • Optimized sensor data flows for real-time responsiveness.
Stackforce AI infers this person is a Backend Engineer with expertise in AI and Embedded Systems.

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Skills

Core Skills

Backend DevelopmentGitlab Ci/cdContinuous Integration And Continuous Delivery (ci/cd)AiDjangoSoftware Development

Other Skills

AlgorithmsAutomationBluetoothChart.jsComputer ScienceComputer VisionControl Systems DesignConvolutional Neural Networks (CNN)Cyber-Physical SystemsData FusionData VisualizationDebugging CodeDistributed SystemsDjango REST FrameworkESP8266 Swarm Connectivity & Master Selection

About

Backend and platform engineer with 3+ years of experience building production backend services, developer tooling, and automation in Python, Go, and PostgreSQL. I’ve shipped enterprise SaaS features, with a focus on building dependable systems, improving developer workflows, and reducing operational overhead in real environments. • At Keysight Technologies, I build tools that make distributed license systems predictable and easy to operate. I created a Go based CLI to standardize license server operations, automated VM validation with GitLab CI and Pytest, and converted Docker deployments into native deb and rpm installers. These improvements reduced deployment time from hours to minutes, lowered manual engineering effort, and improved reliability across internal and customer environments. • Previously at Linarc and [24]7.ai, I worked on backend systems at scale. I shipped Django and PostgreSQL features used by enterprise clients, improved backend performance through caching and query optimization, and built high-throughput services including an OTP system handling 8,000+ daily requests with 99.8% reliability and an intent-classification pipeline processing over 50,000 messages per day. • Alongside backend work, I bring embedded systems depth from my Synaptics Astra edge AI project: a wearable navigation assistant that fuses on-device object detection with ultrasonic and LiDAR sensing and IMU context to deliver haptic and audio guidance. I built Embedded Linux service-based preprocessing and inference pipelines, led sensor integration across camera, ultrasonic, LiDAR, and IMU inputs, optimized sensor data flow for real-time responsiveness, and benchmarked quantized CV models on constrained hardware to validate latency, stability, and robustness under real-world noise. I’m looking for backend, systems, or platform engineering roles where I can build dependable services and improve developer workflows. I’m especially excited about edge to cloud teams where on device systems connect to backend infrastructure.

Experience

2 yrs 8 mos
Total Experience
10 mos
Average Tenure
--
Current Experience

Keysight technologies

2 roles

R&D Software Engineer- Co-op

Oct 2025Dec 2025 · 2 mos · Calabasas, CA

  • Established GitLab CI/CD validation for QEMU-based Linux VMs, adding functional checks for license manager behavior beyond build-only checks.
  • Parameterised the pipeline to support additional VM targets (beyond QEMU) with minimal changes, enabling reuse across environments.
  • Integrated the Go (Cobra) license-operations CLI into CI workflows and automated command-level verification to ensure consistent behavior across VM runs.
  • Developed a Python/PyTest test harness to exercise CLI commands, validate outputs, and catch regressions early during release cycles.
  • Authored runbooks and handoff documentation (pipeline architecture, debugging steps, failure triage) to reduce ramp-up time for the next maintainer.
Backend DevelopmentGo (Programming Language)Python (Programming Language)Shell ScriptingQEMULinux+3

R&D Software Engineer

Jun 2025Sep 2025 · 3 mos · Calabasas, CA

  • Built a Go based Cobra CLI that standardized license server operations and reduced manual setup effort for engineering teams.
  • Automated validation of license manager and Linux VM interactions using GitLab CI/CD and Pytest, improving reliability and cutting manual testing time significantly.
  • Converted Docker based deployments into native deb and rpm installers, reducing installation time from hours to minutes and improving portability across customer environments.
  • Developed a lightweight JavaScript based license client that enabled browser driven activation workflows without requiring server side installation.
Backend DevelopmentGo (Programming Language)Continuous Integration and Continuous Delivery (CI/CD)Python (Programming Language)Gitlab

Synaptics incorporated

Embedded Software Engineer

Mar 2025Dec 2025 · 9 mos · Irvine, CA · Hybrid

  • Designed preprocessing and inference pipelines as Linux services on the Astra SoC, enabling reliable real time behavior for an AI powered wearable navigation system.
  • Optimized sensor data flows for camera, ultrasonic, LiDAR, and IMU modules, reducing latency and improving consistency across multimodal feedback paths.
  • Built benchmarking workflows on both Raspberry Pi 5 and Astra to evaluate model robustness under lighting changes, motion blur, occlusion, and real world noise.
  • Modeled navigation logic using finite state machines to guarantee predictable state transitions and safer decision making in dynamic environments.
  • Integrated CV and ML algorithms through hardware in the loop testing, collaborating with hardware teams to resolve timing, throughput, and synchronization issues.
  • Improved inference performance for quantized YOLO based models by profiling CPU behavior, analyzing bottlenecks, and tuning pipeline components on embedded Linux.
Real-time DataBackend DevelopmentSensor IntegrationAIOpenCVComputer Vision+1

Linarc inc.

Software Engineer

Nov 2023Aug 2024 · 9 mos · Bengaluru

  • Delivered production features across Django, PostgreSQL, and Vue that improved workflow efficiency for enterprise construction clients.
  • Built and deployed reports and analytics modules, enabling data driven decisions and improving operational visibility.
  • Integrated Apache Superset dashboards with backend pipelines, reducing analytics deployment time from days to minutes.
  • Improved backend performance through caching, optimized queries, and modular service design.
AlgorithmsDjangoGitHub CopilotBackend DevelopmentDjango REST FrameworkSQL+7

[24]7.ai

Software Engineer

Feb 2022Oct 2023 · 1 yr 8 mos · Bangalore · Hybrid

  • Built a high throughput OTP delivery system (8000+ daily requests) with 99.8 percent reliability, including fraud prevention and rate limiting.
  • Engineered an intent classification pipeline processing 50,000+ daily messages, reducing escalations by 20 percent and improving customer support workflows.
  • Diagnosed and resolved production failures across distributed systems, improving platform stability and ensuring SLA compliance.
  • Collaborated closely with support teams and clients in war rooms to troubleshoot critical issues and restore services efficiently.
Software DevelopmentSoftware ImplementationTechnical SupportAlgorithmsBackend DevelopmentJavaScript+9

Profinch

Intern

Jun 2020Sep 2020 · 3 mos · Bengaluru, Karnataka, India

AlgorithmsProblem SolvingComputer Science

Ieee jssaten student branch

Founding Member and Student Treasurer

Aug 2019Aug 2021 · 2 yrs

Radius synergies international pvt. ltd.

Intern

Jun 2019Jun 2019 · 0 mo · Noida, Uttar Pradesh, India

Problem SolvingComputer Science

Indian cyber army™

Internship

Jul 2018Aug 2018 · 1 mo

Problem SolvingComputer Science

Education

UC Irvine

Master's degree — Computer Engineering (Master of Embedded and Cyber - Physical Systems)

Sep 2024Dec 2025

Indian Institute of Technology, Delhi

Design Thinking and Innovation

Jan 2021Jan 2022

JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA

B.Tech — Electrical Engineering

Aug 2017Aug 2021

Bal Bharati Public School, Noida

XIIth — Science

Jan 2015Jan 2016

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