Open to opportunities

Shaishav Kumar Singh

@shaishavkumarsingh

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Aspiring software engineer with expertise in Python and LLMs.

India

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What I'm looking for

I seek a dynamic role that fosters innovation and collaboration, with opportunities for growth in machine learning and software development.

I am a passionate software engineer with a strong focus on large language models and backend development. Currently, I serve as an LLM Project Engineer at Turing, where I contribute to Microsoft’s Vulnerability Testing project. My role involves analyzing Python repositories to identify and correct security flaws, as well as developing prompts to enhance the performance of leading LLMs like GPT-4o. This experience has honed my skills in Python and deepened my understanding of machine learning applications.

Previously, I worked as a Python Engineer focused on Reinforcement Learning from Human Feedback (RLHF), where I curated high-quality training data and evaluated outputs from various LLMs. My journey began as a Software Development Intern at Spurzee Technologies, where I co-founded a fintech learning platform. I played a key role in developing trading pattern detection algorithms and managing backend infrastructure, which taught me valuable lessons in product scaling and user engagement.

Experience

Work history, roles, and key accomplishments

Current

LLM Project Engineer – POD Lead

Current

Turing

Nov 2024 - Present (9 months)

Took part in Microsoft's Vulnerability Testing project, where I analyzed Python repositories with known security issues. Created and annotated vulnerable, fixed, and test versions of the code to train the model in understanding and correcting common security flaws. Worked on building challenging prompts specifically designed to test and expose weaknesses in leading LLMs like GPT-4o, o1, and o1-min

Python LLMs)Prompt Engineering Vulnerability Testing GPT 4o

Python Engineer – RLHF

Turing

Aug 2024 - Nov 2024 (3 months)

Worked on improving large language model behavior through RLHF and supervised fine-tuning. My role mainly involved curating high-quality training data based on specific coding prompts and responses. Evaluated outputs from two different LLMs by comparing how well each followed instructions, stayed truthful with code correctness, explained code clearly, and avoided unsafe content.

Model Fine Tuning Python LLMs)Data Curation

Software Development Intern – Fintech Learning Platform

Spurzee Technologies

Feb 2024 - Aug 2024 (6 months)

Helped build a stock trading and education platform aimed at making technical analysis accessible for beginners and experienced traders alike. Developed and integrated trading pattern detection algorithms (like double tops, V-shapes, inside bars, etc.) using Python and Flask, with frontend support from HTML, CSS, and JavaScript.