Debajyoti Dutta

Software Engineer

Kolkata, West Bengal, India2 yrs 8 mos experience

Key Highlights

Delivered 90% of production-grade standard cells at Intel.
Built a validation framework improving data quality.
Ranked in top 108 globally in CodeChef May Challenge.

Stackforce AI infers this person is a Backend Developer with expertise in EDA and Data Science.

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Skills

Core Skills

PythonC++JavaBackend DevelopmentData Science

Other Skills

.NET FrameworkPython (Programming Language)Problem SolvingShellREST APIsGoogle BigQuerySpring BootGoogle CloudHTMLC#TCLShell ScriptComputer ScienceDeep LearningGoogle Cloud Platform (GCP)

About

I’m a passionate and performance-driven software engineer professional with over 2+ years of experience across backend development, data science, and EDA automation in fast-paced tech environments. My core expertise lies in crafting intelligent, scalable systems using technologies like Python, Java, C++, and frameworks like Spring Boot, React.js, and BigQuery. My strength is the ability to bridge data-driven insights with system architecture to engineer smart, high-impact solutions. Whether developing robust APIs, building ML-driven models, or automating chip design patterns, I bring a unique blend of precision, innovation, and cross-functional thinking to every project. I thrive in collaborative, feedback-rich environments where rapid learning, adaptability, and customer-centric problem solving are the norm. Key Achievements: • Delivered 90% of production-grade standard cells in Intel’s LAYGEN tool for layout generation. • Built a full-fledged collateral validation framework improving data quality and traceability. • Replaced complex chip data visuals with Upset Plots, enhancing user understanding. • Ranked in top 108 globally in CodeChef May Challenge, and 5★ in Python, SQL on HackerRank. I’m continuously exploring advanced applications of machine learning, pattern analysis, and scalable backend architectures. Actively seeking opportunities in software, AI/ML, or data-centric roles where I can learn, contribute, and grow. Let’s connect! 📩 debajyotidutta86@gmail.com

Experience

2 yrs 8 mos

Total Experience

11 mos

Average Tenure

9 mos

Current Experience

Xerox

Software Engineer R&D

Sep 2025 – Present · 9 mos · Kolkata · Hybrid

.NET FrameworkC++

Intel corporation

Software Research Engineer/Scientist (AI Application)

Apr 2024 – Jul 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

As a Software Research Engineer at Intel, I contributed to automating layout generation and pattern validation for standard cell designs. My work involved integrating logic for data traceability and optimizing backend pipelines supporting chip design automation.
Built a validation framework to streamline standard cell collateral analysis using Python, C++, and Shell.
Delivered over 90% of layout designs through LAYGEN, improving efficiency in advanced node workflows.
Enhanced detection accuracy of layout patterns by embedding scalable pattern recognition modules.
Collaborated with EDA and validation teams to align algorithmic tools with design guidelines.

Python (Programming Language)Problem SolvingPythonC++

Alumnus software limited

Member of Technical Staff I

Jul 2023 – Mar 2024 · 8 mos · Kolkata, West Bengal, India · On-site

As a backend developer, I was responsible for maintaining and enhancing Java-based APIs within a cloud-integrated application. My focus was on delivering stable, scalable backend systems while ensuring client deliverables were met within SLA windows.
Developed RESTful APIs using Java Spring Boot and deployed on Google Cloud.
Resolved production-critical bugs by implementing logic improvements and root cause fixes.
Integrated BigQuery into application logic for real-time data insights and reporting.
Contributed to modularizing API code for better maintenance and scalability.

REST APIsGoogle BigQueryJavaBackend Development

Intel corporation

Imaging Data Scientist

Sep 2022 – Jun 2023 · 9 mos · Bengaluru, Karnataka, India

As a Data Science Intern, I worked on chip-level visualization tools and data models for semiconductor analysis. My work was key in transforming geometry-based datasets into interpretable visual insights.
Implemented Upset Plot visualizations, enhancing clarity over traditional Venn diagrams.
Developed heatmaps and bar plots for real-time chip geometry attribute analysis.
Enhanced backend pipelines using Python and C++ for large-scale data processing.
Earned two recognitions for initiative, innovation, and collaborative project delivery.

HTMLPython (Programming Language)Data Science