Open to opportunities

Shaishav User

@shaishavuser

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Aspiring software engineer with expertise in Python and LLMs.

India

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What I'm looking for

I am looking for a collaborative environment that fosters innovation and growth, where I can apply my skills in software development and machine learning.

I am a dedicated software engineer with a strong foundation in Python and a passion for developing innovative solutions in the field of machine learning and fintech. Currently, I serve as an LLM Project Engineer at Turing, where I contribute to Microsoft’s Vulnerability Testing project by analyzing Python repositories and creating models that enhance security awareness. My experience also includes improving large language model behavior through reinforcement learning and supervised fine-tuning, ensuring that outputs are accurate and safe.

In addition to my role at Turing, I am a founding member of a fintech startup, where I help build a stock trading and education platform. My responsibilities include developing trading pattern detection algorithms and managing backend infrastructure. This experience has honed my technical skills and taught me the importance of user feedback and agile delivery in product development. I am eager to leverage my skills and experiences to contribute to impactful projects in the tech industry.

Experience

Work history, roles, and key accomplishments

LLM Project Engineer – POD Lead

TURING

Nov 2024 - Present (7 months)

Led Microsoft's Vulnerability Testing project, analyzing Python repositories for security issues and annotating code versions to train models in correcting flaws. Developed challenging prompts to test leading LLMs (GPT-4o, o1, o1-mini) and wrote original code to train Microsoft’s internal LLM for improved output accuracy.

Python LLM Security Testing GPT 4o O1 Mini

Python Engineer – RLHF

TURING

Aug 2024 - Present (10 months)

Worked on improving large language model behavior through RLHF and supervised fine-tuning, curating high-quality training data based on specific coding prompts and responses. Evaluated outputs from two different LLMs by comparing instruction adherence, code correctness, clarity of explanation, and avoidance of unsafe content, requiring a solid understanding of Python and deep research.

Python Model Fine Tuning LLM

Software Development Intern – Fintech Learning Platform

SPURZEE TECHNOLOGIES

Feb 2024 - Present (1 year 4 months)

Helped build a stock trading and education platform, focusing on making technical analysis accessible for beginners and experienced traders. Developed and integrated trading pattern detection algorithms using Python and Flask, supported by HTML, CSS, and JavaScript, utilizing Fyers API for stock data. Managed MySQL databases via phpMyAdmin for storing stock data, user profiles, and market news, al