Aditya GoelAG
Open to opportunities

Aditya Goel

@adityagoel

Product Manager with expertise in AI and data engineering.

India

What I'm looking for

I am looking for a dynamic role where I can leverage my AI and data engineering skills to drive innovation and contribute to impactful projects. I value a collaborative company culture that encourages growth and creativity.

I am a passionate Product Manager with a strong background in AI and data engineering. My journey began with a Bachelor's degree in Computer Science from Thapar Institute of Engineering and Technology, where I honed my skills in machine learning, data structures, and algorithms. I have successfully led the development of innovative AI products at Claw Legaltech, optimizing legal workflows and enhancing client collaboration.

Throughout my career, I have architected scalable AI infrastructures and managed cross-functional teams to deliver impactful solutions. My experience includes building high-throughput data pipelines and fine-tuning large language models for various applications. I take pride in my ability to integrate advanced technologies to drive efficiency and improve user experiences, as evidenced by my work on AI-powered legal workflows that have significantly increased adoption and revenue.

Experience

Work history, roles, and key accomplishments

CL

Manager - AI

Claw Legaltech

Mar 2023 - Jan 2024 (10 months)

Optimized data pipelines for legal automation, deploying large language models for compliance checks and contract drafting. Utilized AWS services for real-time data processing and analytics.

Education

Degrees, certifications, and relevant coursework

Thapar Institute of Engineering and Technology logoTT

Thapar Institute of Engineering and Technology

Bachelor of Technology, Computer Science

2019 - 2023

Grade: 8.42

Activities and societies: Academic projects included Sustainable Traffic Control using computer vision and a Cognitive Recommendation System utilizing NLP.

Completed a Bachelor's degree in Computer Science with a CGPA of 8.42. Courses included Operating Systems, Database Management Systems, Data Structures and Algorithms, Artificial Intelligence, Machine Learning, Probability and Statistics, NLP, and Computer Vision.

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