Pramod Kumar Kanigiri Computer Science
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Hi! I’m passionate about helping students truly understand math and programming, not just memorize formulas or code. I love seeing that moment when a concept finally clicks — when students realize that what once looked complicated actually makes perfect sense.

I’ve worked with both high school and undergraduate students, and I know everyone learns differently. That’s why I focus on breaking down ideas step by step, using real-world examples, and creating an environment where it’s okay to ask questions and make mistakes. In math, I help students see how logic and patterns connect everything around us. In programming, I guide them from writing their first lines of code to building creative projects that make them proud of their progress.

My teaching style is interactive and practical — we solve problems together, write code together, and learn through doing. I make sure every lesson connects theory with real applications so students can see the “why” behind what they’re learning.

Most importantly, I want my students to feel confident and curious. Whether it’s solving an equation or debugging a program, I encourage them to think critically, explore different approaches, and enjoy the process of learning. My goal is simple: to help every student build strong foundations, gain self-belief, and find genuine excitement in what they’re learning.

Subjects

  • Computer Science Intermediate-Expert

  • Math Beginner-Expert

Experience

  • Python Developer (Mar, 2024–Present) at Digitronics, Inc
    • Built interactive Python dashboards that helped teams spot financial trends faster, improving decision-making by 20%.
    • Cleaned and organized flattened data so it could be used effectively in the project.
    • Created ground truth labels to check how accurate the model’s results were.
    • Developed and deployed a Retrieval-Augmented Generation (RAG) pipeline integrating AWS Bedrock with Anthropic’s Claude and AWS Sonnet Judge LLM for automated evaluation of model responses.
    • Designed and iteratively refined prompt templates with pass/fail criteria, leveraging few-shot learning examples to improve LLM judgment accuracy.
    • Annotated and curated training datasets, defining clear evaluation standards for content quality and correctness.
    • Utilized Docker to containerize the end-to-end application for scalable deployment and reproducibility.
    • Integrated Arize AI to monitor model performance and optimize prompts based on real-world evaluation metrics.
    • Achieved measurable improvement in output quality and prompt reliability through continuous refinement and prompt engineering experiments.
  • Data Analyst (Oct, 2021–Aug, 2022) at Broadridge Financial Solutions, Hyderabad
    • Developed and maintained internal tools using Java and SQL.
    • Automated routine data processing tasks, improving operational efficiency.
    • Participated in Agile sprints with cross-functional teams and reported using JIRA and Confluence.

Education

  • Master of Science in Computer Science (Sep, 2022–Dec, 2023) from Stevens Institute of technology
  • Bachlors of technology in computer science (Jun, 2018–May, 2022) from KL university,Hyderabad

Fee details

    US$20–30/hour (US$20–30/hour)

    Depending on grads, I will be charging.

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