Shaon Bandopadhyay
Summary
Computer Science Engineer with 2.5 years of experience in data structures & algorithms, machine learning, and deep learning. Skilled in designing and deploying scalable, data-driven solutions that improve efficiency and accuracy. Proven ability to solve complex algorithmic challenges and deliver impactful projects through advanced analytics and optimized models.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Associate Staff Engineer
Samsung Semiconductor India Research
07.2023 - Current
- I spent the past 2.5 years at Samsung SSIR within the ML Solution department, where I applied and expanded my expertise in machine learning algorithms and model optimization.
- Quantization: Handled model quantization across various precisions (INT8, INT16, FP16) for multiple use-case models. This included creating KPI-focused models such as MobileNet and M-Det, and improving their accuracy through careful quantization strategies.
- Feature Development: Integrated mixed precision techniques in the current pipeline and implemented FP8 support end-to-end, which helps enable the deployment of ultra-lightweight models without compromising quality.
- GenAI Quantization (Stable Diffusion Pipeline): Contributed to the full-stack development of a Stable Diffusion workflow, from model conversion to on-device execution.
- Regression Testing & Dockerization: Designed and maintained regression test suites and built reproducible Docker containers to streamline development, validation, and continuous integration.
- Accuracy Debugging & Improvement: Identified accuracy regressions, performed root-cause analysis, and applied targeted refinements to recover or exceed baseline performance.
- Executed a complete workflow that started with model export (ONNX/TFLite), progressed through quantization, and ended with thorough on-device validation.
Data Analyst Intern
Mercedes Benz R&D India
06.2022 - 08.2022
- Worked on the Online Music and Entertainment service of connected cars, utilizing Microsoft Azure, PySpark, and Power BI to extract and analyze cloud data and build visual dashboards.
- Responsibilities included identifying customer usage patterns, generating insights into user engagement, and assessing third-party integrations to determine their efficiency and overall impact on the product ecosystem.
Summer Internship Training
IIT Kharagpur
06.2019 - 07.2019
- Internship training under the guidance of Dr. Pabitra Mitra focused on digital image processing.
- The project was based on OpenCV and involved developing a face recognition module capable of automatically detecting faces by analyzing distinguishing features.
Education
M.Tech - Data Analytics
NIT
TrichyB.Tech - Computer Science & Engineering
IEM
KolkataClass 12th -
Barrackpore GOVT. High School
Class 10th -
Barrackpore GOVT. High School
Skills
- C
- C
- Python
- Data structures & algorithms
- Object-oriented programming (OOPs)
- Competitive coding
- Deep learning
- Quantization
- ONNX
- TensorFlow
- PyTorch
- OpenCV
- Linux
- NumPy
- Docker
- Visual Studio
- PySpark
- Power BI
- Microsoft Office
- CI/CD pipelines
- Git & GitHub
- Machine learning
- Model optimization
Certification
- Prompt Engineering for ChatGPT (Coursera)
- C programming (NPTEL)
- Joy of computing using python (NPTEL)
Accomplishments
- Selected as Employee of the month at SSIR.
- GATE CS/IT 2021 qualified with 98.62 percentile.
- Among the top 5% of students in MAKAUT (University), 2021.
Hobbies and Interests
- Online teaching on YouTube channel Algorithmic Adventures
- Watching Movies
- Listening to songs
- Playing cricket
Projects
- IoT-based Smart City Street Light System with Emergency Sound Prediction, Designed an IoT-enabled streetlight system using IR sensors, Arduino, and relays.
- Hybrid Web Traffic Forecasting using SARIMA and Artificial Neural Networks, Proposed a hybrid forecasting model combining SARIMA and ANN for improved accuracy.
Publications
Smart Streetlight with Intelligent Sound Detection System, 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2022, 1841-1845, 10.1109/ICEARS53579.2022.9752171
Phone
+91, 7980892266
Timeline
Associate Staff Engineer
Samsung Semiconductor India Research
07.2023 - Current
Data Analyst Intern
Mercedes Benz R&D India
06.2022 - 08.2022
Summer Internship Training
IIT Kharagpur
06.2019 - 07.2019
M.Tech - Data Analytics
NIT
B.Tech - Computer Science & Engineering
IEM
Class 12th -
Barrackpore GOVT. High School
Class 10th -
Barrackpore GOVT. High School