Nevil Sonani

Product Manager

Ahmedabad, Gujarat, India11 mos experience

Key Highlights

Proficient in MERN stack and microservices architecture.
Hands-on experience in AI and Machine Learning projects.
Skilled in building scalable SaaS platforms.

Stackforce AI infers this person is a Full-Stack Developer with expertise in SaaS and AI solutions.

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Skills

Core Skills

Node.jsNestjsMachine LearningPython

Other Skills

Amazon S3Amazon Web Services (AWS)Automated Machine Learning (AutoML)BootstrapCascading Style Sheets (CSS)Deep LearningDockerExploratory Data AnalysisGitGitHubHTML5JWTJavaScriptMongoDBNatural Language Processing (NLP)

About

Hi, I'm Nevil 👋 🎓 Computer Engineering graduate from L.J. Institute of Engineering and Technology passionate about leveraging cutting-edge technologies to build scalable, secure, and impactful digital solutions. ⚡ Skilled Full-Stack Developer proficient in MERN stack (MongoDB, Express.js, React.js, Node.js), NestJS, and microservices architecture. Experienced in designing robust RESTful APIs, containerized deployments with Docker, and cloud infrastructure leveraging AWS for production-ready applications. 💡 AI & Machine Learning enthusiast with hands-on experience creating and deploying state-of-the-art NLP models, transformer-based LLMs, and deep learning pipelines using Python, TensorFlow, PyTorch, and Hugging Face Transformers. Skilled in building scalable AI SaaS platforms and integrating ML models into real-time applications. 🚀 Adept at Agile methodologies, CI/CD workflows, and collaboration with cross-functional teams to drive innovation and deliver high-impact software solutions that solve complex business problems. 📫 Let’s connect to explore opportunities in full-stack development, AI engineering, or innovative SaaS product development.

Experience

Glasier inc.

MERN Stack Developer

Jan 2025 – Jun 2025 · 5 mos · Ahmedabad, Gujarat, India · On-site

Contributed to the development of robust backend services using Node.js, NestJS, and PostgreSQL, focusing on
scalable microservice-based architecture.
Built and optimized RESTful APIs for high-performance applications, integrating complex business logic and
database interactions using SQL and TypeORM.
Worked on Dockerizing microservices for efficient containerized deployments, enabling smooth CI/CD workflows
and improving deployment reliability.
Integrated authentication and authorization modules using JWT and role-based access control, enhancing
application security and scalability.
Collaborated closely with frontend and QA teams to deliver full-stack features, ensuring seamless data flow between
backend and React-based frontend components.
Utilized Git for version control, participated in agile sprints, code reviews, and contributed to documentation to
maintain high code quality and team efficiency.

Node.jsNestJSPostgreSQLRESTful APIsSQLTypeORM+3

Jp dasolt

Data Scientist

Mar 2024 – Sep 2024 · 6 mos · London Area, United Kingdom · Remote

Led the development and deployment of machine learning models to enhance business forecasting accuracy, directly
contributing to improved operational efficiency and decision-making.
Engineered and refined features from large, complex datasets, boosting model performance and robustness in
dynamic, real-world environments.
Applied a variety of ML techniques including regression, classification, and clustering using Python frameworks
such as scikit-learn, TensorFlow, and PyTorch.
Constructed end-to-end, scalable ML pipelines with automated data ingestion, model training, evaluation, and
deployment using cloud infrastructure and Docker, enabling rapid iteration and production readiness.
Conducted in-depth exploratory data analysis and statistical evaluations to uncover actionable insights, identify
anomalies, and support strategic planning.
Collaborated closely with cross-functional teams remotely, including data engineers and product managers, ensuring
alignment of ML solutions with business goals and user needs.
Prepared comprehensive documentation and delivered clear presentations to stakeholders, fostering understanding
and adoption of data-driven approaches across the organization.