I am an online-only educator, academic mentor, and researcher with experience teaching school, undergraduate, postgraduate, and research-level students from arts, science, commerce, and technology backgrounds. I work with learners who require structured guidance, concept clarity, and consistent academic support through online teaching.
My teaching approach is clear, systematic, and student-focused. I believe in building strong fundamentals before moving to advanced concepts, and I adapt my teaching style based on the learner’s academic level, pace, and learning objectives. My sessions are interactive and designed to help students gain confidence, improve performance, and apply concepts effectively.
I provide online teaching, exam preparation, homework support, assignment assistance, project guidance, and research mentoring. I help students understand difficult topics, prepare for assessments, complete academic tasks, and develop problem-solving and critical-thinking skills required for higher education and professional growth.
My areas of specialization include Data Science, Artificial Intelligence, Machine Learning, Python, statistics, research methodology, and academic project guidance. I support students working on coursework, mini projects, final-year projects, and research-based academic work, including guidance for higher studies and research-oriented pathways.
I use digital teaching tools effectively and conduct all sessions exclusively online, ensuring flexibility, clarity, and continuous academic support. I also assist students with doubt-clearing sessions, revision planning, and structured learning strategies tailored to their academic goals.
I enjoy working with motivated learners who are serious about strengthening their concepts, improving academic outcomes, preparing for competitive or university examinations, transitioning into industry roles, or developing a strong foundation for research and advanced studies. My goal is to create a supportive online learning environment where students feel comfortable asking questions and confident in their academic progress.
Subjects
-
Computer Science Beginner-Expert
-
Python Beginner-Expert
-
Web technologies Beginner-Expert
-
Artificial Intelligence Beginner-Expert
-
Agentic AI Beginner-Expert
Experience
-
Developer - Learning Products (Oct, 2023
–Present) at USDC Global (Jain University), Bangalore
Designed and developed over 400 innovative “Learn-by-Doing” modules using React and JavaScript,
implemented across NIOS and Jain Online, transforming theoretical content into interactive, experiential
learning aligned with Task-Based Assessment principles.
Engineered an AI Nudging Agent powered by a multistep agentic workflow to deliver personalized
learner engagement and timely reminders for assignments, profile completion, and administrative
actions.
Created an LLM-integrated Authoring Tool for non-linear, case-based learning and task-driven
assessment, enabling adaptive learning paths and improved comprehension of complex real-world
problems.
Delivered specialized AI courses for MBA students at Chitkara University Online and conducted live
sessions for Design and Analysis of Algorithms Lab, Operating Systems, and Web Technologies at Jain
Online, integrating theoretical instruction with practical demonstrations to strengthen applied
understanding.
Produced and recorded high-quality studio sessions for Web Technologies and Advanced Database
Systems at Jain Online.
Demonstrated expertise in Python, AI/ML, Deep Learning, and Curriculum Design, with a focus on
developing scalable, data-driven, and task-based learning ecosystems that elevate educational impact.
● Contributed to transforming higher education digital ecosystems by integrating AI-driven task-based
assessments, improving learner performance and engagement metrics across multiple programs
-
Software Development Engineer (Aug, 2021
–Dec, 2022) at Philips innovation campus Bengaluru
Contributed to software development using Python and Java for big data platforms, enhancing data
processing and analytics capabilities.
Designed and implemented big data solutions utilizing AWS and EMR for efficient data handling and
scalability.
Delivered end-to-end solutions, including requirement analysis, development, and testing.
Analyzed business requirements, designed comprehensive test cases, and performed unit testing to
ensure high-quality deliverables.
Created client-oriented technical documentation, including API documents and developer guides.
Contributed to microservices development and cloud integration using AWS and Cloud Foundry.
Thrived as a collaborative team player and an independent contributor in a fast-paced, agile
environment.
-
Intern (Sep, 2020
–Aug, 2021) at PHILIPS India Ltd
Received a full-time offer and conversion to Software Development Engineer role based on strong
performance and technical excellence during the internship.
Built a DevOps Vault library in Python and developed sample frameworks using Node.js, React.js, and
Python Flask.
Contributed to the DevOps tool migration project by upgrading from ReadyAPI 2.2.0 to 3.4.0,
ensuring backward compatibility.
Tested and validated existing test cases with the updated version of ReadyAPI.
Centralized the Cloud Foundry (CF) deployment process and unified Vault libraries for all platform
services within HSDP.
Reviewed and optimized service deployment scripts, updating Vault methods within a common library
for better maintainability.
Created sample REST APIs in Python for the CF framework to streamline integration and deployment.
Designed and executed unit test cases for all methods, successfully testing and deploying the APIs.
Gained valuable, hands-on experience in DevOps, automation, and cloud integration, applying best
practices for scalable and secure deployments.
Education
-
Masters of Engineering (Jul, 2019–Jul, 2021) from Manipal School of Information Science–scored 8.7
-
Bachelors of Engineering (Jun, 2013–Jun, 2017) from Sahyadri College of Engineering and management
Fee details
₹1,500–10,000/hour
(US$15.79–105.25/hour)
y fee varies based on the academic level (UG/PG/PhD), subject complexity, session duration, level of personalization, and whether the engagement involves advanced research guidance, AI/Data Science mentoring, publication support, or long-term academic consulting