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aditya ashtaputre

@adityaashtaputre

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Entry-level teaching assistant and AI-focused full-stack developer building explainable AI and LLM applications.

India

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What I'm looking for

I’m looking for an entry-level role where I can build and deploy AI/ML (especially explainable AI and LLM workflows) while contributing to practical full-stack systems and strong engineering practices.

I’m an AI-ML and full-stack oriented student (B.Tech in CSE (AI-ML)) who enjoys turning complex ideas into usable systems. As a Teaching Assistant for “Design and Analysis of Algorithms,” I guided students through recursion, trees, graphs, dynamic programming, and algorithm analysis while helping them debug and strengthen problem-solving skills.

In my projects, I built a full-stack search engine (Java, Spring Boot, React) with a custom web crawler, inverted index, TF-IDF relevance ranking, and Levenshtein spelling suggestions—without using Elasticsearch. I also developed explainable AI models combining Grad-CAM, Integrated Gradients, and Occlusion Sensitivity, achieving a faithfulness score of 0.7575 and stability cosine similarity of 0.9674, and created an LLM application that generates, critiques, and refines answers across iterations.

Experience

Work history, roles, and key accomplishments

Teaching Assistant

PES University

Assisted students in Data Structures and Algorithms laboratories by guiding concepts such as recursion, trees, graphs, and dynamic programming. Helped students debug implementations and strengthen problem-solving and algorithm analysis skills.

Data Structures Algorithms Graph Dynamic Programming Debugging Problem Solving

Education

Degrees, certifications, and relevant coursework

PES University

Bachelor of Technology, Computer Science Engineering (AI-ML)

2023 -

Grade: CGPA: 7.65 / 10

Activities and societies: Projects: MiniSearch (Java/Spring Boot/React web crawler, inverted index, TF-IDF, edit-distance spelling suggestions); Adaptive Entropy Attribution Fusion (Grad-CAM/IG/Occlusion ensemble, faithfulness & stability); EMG Intention Propagation System (EMG feature pipeline + ML classifiers; real-time 3D visualization); Recursive Answer Refiner (LLM answer-critique-refine workflow with Streamlit metrics).

Pursuing a Bachelor of Technology in CSE (AI-ML) at PES University (2023–2027) with a CGPA of 7.65/10. Completed multiple AI/ML and full-stack projects demonstrating applied coursework in search, explainable AI, and ML pipelines.