Naman Saini

Software Engineer

Narnaul, Haryana, India3 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed a global tool for seamless site operations.
Engineered machine learning solutions for issue resolution.
Strong foundation in neural networks and machine learning.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Machine Learning and AI solutions.

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Skills

Core Skills

Machine LearningFull-stack DevelopmentDisplay Driver DevelopmentPerformance OptimizationPattern Recognition

Other Skills

PythonJavaScriptMongoDBFastAPIC++WinDbgSQLDeep LearningMATLABPyTorchNeural Networks4GAnalyticsDatabasesProgramming

About

As an R&D Engineer at MediaTek, I contribute to global site project deployment and internal tool development, utilizing FastAPI, JavaScript, MongoDB, and Python. Notable projects include designing a global tool for seamless site operations and developing machine learning-powered solutions, such as a FAQ recommendation system and Generative AI models for issue resolution. I hold an MTech in Computer Science from NIT Jalandhar and a BTech in Computer Science from the Central University of Haryana. My academic and professional journey has honed my expertise in Python, JavaScript, and FastAPI while building a strong foundation in neural networks and machine learning through internships at Intel and IIT Roorkee. I am passionate about creating innovative solutions to streamline processes and enhance efficiency in the tech industry.

Experience

3 yrs 5 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 11 mos

Current Experience

Mediatek

R &D ENGINEER

Jun 2023 – Present · 2 yrs 11 mos · Noida, Uttar Pradesh, India · On-site

mediatek technology india (CW)
Global Site Project Deployment & Internal Tool Development
Designed and deployed a global internal tool to streamline site operations, ensuring seamless scalability
and integration across multiple regions..
Developed full-stack solutions using FastAPI, JavaScript, HTML, MongoDB, and Python, optimizing
system performance and API efficiency.
Engineered a FAQ recommendation system utilizing machine learning to assist engineers in diagnosing
and resolving customer issues efficiently.
Integrated Generative AI models for automated issue classification and resolution, reducing manual effort and improving response accuracy.
Technologies: Python, JavaScript, MongoDB, Machine Learning, FastAPI

PythonJavaScriptMongoDBMachine LearningFastAPIFull-Stack Development

Intel corporation

Graduate Technical Intern

Jun 2022 – May 2023 · 11 mos · Bengaluru, Karnataka, India · Hybrid

Display Driver Development | Graduate Technical Intern
Contributed to the Display Driver Development Team, focusing on low-level graphics driver enhancements
and performance optimizations.
Developed and optimized display driver code in C++, ensuring high-performance rendering and compliance
with modern display standards.
Automated display module validation through Python-based testing scripts, ensuring robustness in
the Display Interface Module and Display Plane Module.
Utilized WinDbg and kernel mode debugging to perform root cause analysis, optimize driver performance,
and enhance system stability.
Technologies: C, C++, Python, WinDbg, Display Interface, Display Plane

C++PythonWinDbgSQLDisplay Driver DevelopmentPerformance Optimization

Indian institute of technology, roorkee

Research Intern

Jan 2020 – Jul 2020 · 6 mos · roorkee · On-site

Conducted research under Dr. Partha Pratim Roy in the domain of Pattern Recognition and Machine
Learning, focusing on handwritten text recognition.
Preprocessed large-scale Hindi and Handwritten Recognition Datasets, including line segmentation,
correction, image normalization, noise reduction, and augmentation to improve model performance.
Developed and optimized a Convolutional Recurrent Neural Network (CRNN) by refining hyperparameters,
applying dropout regularization, leveraging transfer learning techniques, and benchmarking results
against state-of-the-art models.
Technologies: Python, MATLAB, Machine Learning, Deep Learning, Linux, PyTorch