MLOps | Deep Learning | Machine Learning | Founder @AdharaAILabs | Member @PES-Innovation-Lab | GSoC'25 @ucsc-ospo | research @dartmouth | AI @Lossfunk
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sensei
December 20, 2025 – December 21, 2025
An autonomous AI research scientist that generates, evaluates, and refines novel research ideas from scientific literature.
View Projectworldmodel_paperimplementation
November 17, 2025 – November 18, 2025
worldmodel_paperimplementation — repository
View ProjectBillionScaleVectorEmbeddings
June 7, 2025 – August 30, 2025
This repository is part of my Google Summer of Code (GSoC) project under the UC OSPO organization. It provides tools for downloading open-source repositories, generating large-scale vector embeddings using transformer models, and verifying the generated embedding shards.
View Projectraft3d
April 12, 2025 – April 13, 2025
Raft3D is a distributed 3D printer management system with data persistence implemented via the Raft Consensus Algorithm rather than traditional centralized databases.
View Projectterminusai
February 15, 2025 – February 15, 2025
TerminusAI is a CLI assistant that converts natural language queries into terminal commands. It supports file operations, networking, system monitoring, package management, and Docker. Features include safety checks, custom workflows, and command history. Built with Python, Ollama and Llama 3.2:3b model :D
View ProjectMistralXGo-7B
February 2, 2025 – February 4, 2025
This repository contains MistralXGo-7B , a specialized language model fine-tuned on the Mistral-7B base model to generate Go code from natural language comments. The model leverages LoRA (Low-Rank Adaptation) for efficient fine-tuning and supports 4-bit quantization for memory-efficient deployment.
View ProjectCoDSPy
January 31, 2025 – February 1, 2025
An intelligent code optimization system leveraging AI analysis, automated refactoring, and test generation. Built with DSPy and Gradio, it transforms raw code into optimized, test-covered implementations using Chain-of-Thought (CoT) and ReAct reasoning.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML research and personal projects, which demonstrates initiative and passion. However, the direct alignment with a typical 'Backend Engineer' role, which often involves more traditional enterprise system development, databases, and APIs, is not explicitly demonstrated. The Raft3D project shows some backend system design, but the overall breadth of backend-specific technologies (e.g., SQL/NoSQL databases, message queues, cloud platforms, RESTful API design) is not evident. This might indicate a fit for a research-oriented backend role or a need for upskilling in standard backend practices.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong drive for independent learning and problem-solving. The focus on AI/ML and distributed systems suggests an analytical mindset. However, without psychometric test results or interview data, it is difficult to assess communication, teamwork, or stress handling abilities.