Rushikesh Golande

Rushikesh Golande has joined TechGigs as an AI/ML Developer, bringing strong expertise in machine learning, deep learning, backend development, and model deployment to deliver intelligent, scalable, and high-performance solutions for modern applications.

He is proficient in industry-standard technologies including Python, TensorFlow, PyTorch, FastAPI, Docker, and Next.js, enabling him to build robust AI models, design performant full-stack architectures, and integrate intelligent features into production-ready web applications. His experience spans recommendation engines, predictive analytics, NLP-based chat systems, and computer vision solutions that drive automation, personalization, and data-driven decision-making.

At TechGigs, Rushikesh plays a key role in designing and implementing AI-driven features while ensuring seamless integration with Next.js-based frontends for optimized performance, scalability, and user experience. His analytical mindset allows him to translate complex business requirements into efficient machine-learning pipelines and reliable backend systems.

He collaborates closely with data scientists, designers, and product managers to align AI models with UI/UX and backend infrastructure, supporting real-time processing and smooth deployment workflows. With a passion for research, clean code, and continuous innovation, Rushikesh continues to push the boundaries of applied artificial intelligence helping TechGigs build transformative digital products powered by smart technology.