May 2025 – Present · 1 yr 1 mo · New Delhi, Delhi, India · Remote

• Selected as a Google Summer of Code 2025 mentee under the Apache Dubbo organization. Currently working on the project “Enhancing Dubbo Python Serialization” with a focus on improving serialization performance, enhancing compatibility, and ensuring long-term maintainability within the Dubbo Python framework. Actively collaborating with experienced open-source mentors and contributors to design, implement, and deliver robust, production-ready enhancements as part of the global open-source community.

May 2025 – May 2025 · 0 mo · Delhi, India

• Guiding a student team in the Hack Eclipse 2025, a national-level online hackathon powered by IIT Madras - BS, focused on Open Innovation. The 72-hour event fosters creativity, technical skills, and real-world problem-solving across domains like Healthcare, FinTech, Education, and Sustainable Development. Supporting participants through ideation, prototype development, and final presentation stages.

Dec 2024 – Present · 1 yr 6 mos · Remote

• I’m a Mathematics and Machine Learning tutor with a strong focus on real-world application. I provide personalized guidance to students and professionals in core mathematical concepts, machine learning, deep learning, and natural language processing.
• Alongside tutoring, I work on freelance projects, building full-stack web applications and AI solutions using Python, React, and cloud platforms. My goal is to simplify complex topics and empower learners to confidently apply their knowledge through structured lessons, hands-on coding, and mentorship tailored to their goals.

Nov 2024 – Present · 1 yr 7 mos · Remote

• As a team member at AlgoMentorX, I specialize in teaching machine learning and full-stack development to students and professionals worldwide. I deliver personalized, project-based guidance in AI, deep learning, and scalable web application development. My approach focuses on hands-on learning, helping learners bridge the gap between theory and practice through real-world project implementation.
• I support learners in building and deploying AI models, developing NLP applications, and integrating machine learning with full-stack technologies like Python, React, and cloud platforms. Through remote structured lessons, interactive coding sessions, and ongoing mentorship, I enable students and professionals to gain practical expertise and confidently navigate both academic and industry environments.

Nov 2024 – Present · 1 yr 7 mos

• Contributed to Apache’s open-source projects, improving system performance and fixing critical issues. Successfully merged three pull requests, optimizing backend processes and enhancing data pipeline efficiency. Worked with a global community of developers, following industry best practices for code reviews, documentation, and CI/CD pipelines. Contributions involved Python and Java-based implementations, improving API response time by 10% and fixing key security vulnerabilities.

Aug 2024 – Present · 1 yr 10 mos · Noida, Uttar Pradesh, India · On-site

• At Acutus AI, I design and optimize AI-driven backend systems for large-scale market research, improving survey automation efficiency by 30%. I have built and maintained high-traffic full-stack applications using the MERN stack, reducing API latency by 40% through backend optimization and caching strategies. Additionally, I leverage NLP and synthetic data generation to enhance AI models, leading to a 20% increase in predictive accuracy. My work ensures seamless integration between AI automation and scalable cloud-based systems, enabling businesses to extract actionable insights efficiently.