Godhuli De
@godhulide
Versatile AI Software Engineer with 5+ years of experience.
What I'm looking for
I am a versatile and impact-driven AI Software Engineer with over 5 years of experience in building production-ready applications. My expertise spans more than 3 years in AI/ML, data science, and cloud-native development. I am adept at designing end-to-end machine learning pipelines, deploying scalable models, and driving innovation in sectors such as healthcare, finance, and cloud services.
Throughout my career, I have achieved significant milestones, including architecting MLOps frameworks and operationalizing GenAI solutions using advanced technologies like PyTorch, TensorFlow, and Azure/AWS services. My strong research background in HealthTech AI has led to hands-on implementations of physics-informed learning and real-time inference systems, all aimed at solving real-world problems with responsible AI through enterprise-grade applications.
Experience
Work history, roles, and key accomplishments
AI Software Engineer
Skillsbridge.AI
Mar 2025 - Present (4 months)
Developed and scaled GenAI-powered microservices using Python, Java, gRPC, and GraphQL, powering GenAI-based SaaS platforms with support for 10K+ daily requests on the HR platform. Engineered distributed pipelines with LangGraph and LLM APIs (Gemini, Claude) to power GenAI-based job description generation.
Graduate Research Assistant
New York Institute of Technology
Feb 2023 - Dec 2024 (1 year 10 months)
Conducted cutting-edge AI research in HealthTech, designing physics-informed ML models using TensorFlow and PyTorch to predict muscular torque from SAW biosensor data with 99.7% accuracy. Engineered a robust MLOps pipeline integrating AWS Lambda, Flask APIs, and Apache Airflow for continuous retraining and scalable deployment of real-time inference models.
Senior Software Engineer
Lowe's Companies, Inc.
Aug 2018 - Jan 2023 (4 years 5 months)
Collaborated with cross-functional teams in agile to lead the end-to-end development of scalable web features, integrating front-end (React, JavaScript) and back-end (Java, Python, SQL) technologies to enhance platform performance and user experience. Developed and maintained high-volume, low-latency microservices for transaction processing and product catalog management using Java, Spring Boot, a
Education
Degrees, certifications, and relevant coursework
New York Institute of Technology
Master of Science, Computer Science
Grade: 4.0/4.0
Completed a Master of Science in Computer Science, focusing on advanced topics and research. Achieved a perfect cumulative GPA of 4.0/4.0, demonstrating strong academic performance. Thesis research involved the study of machine learning models for muscle torque estimation using SAW sensors and BIODEX.
Tech stack
Software and tools used professionally
Postman
Chart.js
GitHub
Kubernetes
GitHub Actions
PySpark
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Node.js
Django
Spring Boot
Material-UI
Google Analytics
Redis
Terraform
Jira
React
JavaScript
Python
Java
BlazeMeter
TensorFlow
PyTorch
scikit-learn
Kafka
Grafana
Prometheus
OpenTelemetry
Linux
Windows
Gemini
GraphQL
gRPC
Elasticsearch
AWS Lambda
TypeScript
JUnit
OAuth2
Docker
Airflow
ScalaNLP
Amazon Web Services (AWS)
Microsoft Power BI
SQL
React Router
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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