Machine Learning Engineer with ~5 years of experience in ML, NLP, and computer vision. Skilled in designing and deploying deep learning pipelines (PyTorch, TensorFlow), explainable AI techniques, and scalable ML systems with Docker and CI/CD. Proven leadership as an AI/ML team lead delivering international NLP projects, with a strong track record in applied research and end-to-end production systems.

Experienced Python/Django Developer with nearly 5 years of experience in backend development. Proficient in designing databases, building API endpoints, integrating third-party APIs, and deploying web applications. Skilled in a range of backend and frontend technologies and tools, including Flask, Celery, Git, Docker, and AWS. Experienced in managing server-side logic and collaborating across multiple platforms and institutions including fintech and education domains.

Kamal Aryal is a highly skilled full-stack software engineer with over 5 years of experience in backend architecture, microservices, cloud infrastructure, and frontend development. He has led development teams, introduced cutting-edge technologies like TypeScript, GraphQL, and serverless computing, and contributed to complex SaaS platforms. Kamal has hands-on experience with AWS, Kubernetes, Docker, and multiple JavaScript frameworks like React, Vue, and NodeJS. He has contributed to major international projects and excels in cloud-native application design, video streaming systems, and real-time communication platforms.

Mahesh Karki is an experienced software engineer with over 5 years of experience in backend development using PHP (Laravel) and Node.js frameworks (NestJS, Express.js, AdonisJS). He has worked extensively with both relational and non-relational databases (MySQL, PostgreSQL, MongoDB), REST API development, microservices (with gRPC protocol), and deployment on AWS. His skill set also includes CI/CD pipelines using GitHub Actions and Jenkins, Docker containerization, and experience with payment gateway integrations. He has contributed significantly to team success through code reviews, mentoring, and collaboration with frontend and QA teams.

Software Engineer specializing in ML, AI, and full-stack development with experience delivering production-ready systems and scalable APIs. Skilled in deploying and optimizing ML models, building document intelligence solutions, and developing intelligent platforms across industries. Strong background in NLP, computer vision, and LLM integration, with a track record of driving product strategy, improving model performance, and contributing to impactful AI projects.

Experienced IoT and Computer Vision Engineer turned Freelance LLM Expert and Competitive Coder/Data Analyst. Proficient in deploying AI models, optimizing vector-based document retrieval using RAG, training LLMs for code and content generation, and developing intelligent systems for real-world applications. Strong engineering background with deep learning, computer vision, robotics, and data analytics expertise.

Applied NLP and GenAI Specialist with 4+ years of experience building production-grade ML/DL pipelines, fine-tuning LLMs, and deploying agentic AI applications for enterprise impact. Skilled in designing end-to-end AI solutions, integrating RAG architectures, and optimizing AI workflows for business efficiency. Proven track record in leading collaborative projects, delivering high-impact research, and developing real-world AI systems that drive measurable results.

A passionate software engineer with over 4 years of experience specializing in JavaScript, particularly in developing scalable and maintainable front-end and full-stack applications using React.js and React Native. Proficient in building REST APIs, integrating third-party libraries, managing deployments, and leading UI/UX development efforts. Adept at collaborating with team members and clients to deliver robust software solutions, ensuring pixel-perfect implementations and scalable architecture.

Dynamic and accomplished software engineer with 4 years of experience in full-stack web development. Adept at collaborating with cross-functional teams and delivering high-quality software solutions. Effective communicator, leader, and problem solver with a track record of meeting project deadlines and exceeding client expectations. Passionate about mentoring on various topics related to software development.

Diwash Joshi is a Senior Data Engineer with over 4 years of experience in data analysis, ETL processes, and reporting across the healthcare, staffing, and banking industries. He has a strong background in SQL, AWS, and database management systems. Known for his hands-on expertise in managing large-scale data pipelines and creating high-impact reports, he has led teams, standardized data practices, and optimized complex queries. Diwash holds a Master’s degree in Computer Science and has a reputation for problem-solving, team leadership, and continuous improvement in data quality and performance.