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Sohini BanerjeeSB
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Sohini Banerjee

@sohinibanerjee

Software developer and VIT Chennai research intern who improved intrusion-detection AUC by 20% under zero-shot domain transfer.

India
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At VIT Chennai, I designed and evaluated machine-learning models for PI-IDS, a protocol-invariant intrusion-detection method that improved AUC by 20% under zero-shot domain transfer. The manuscript is under review.

I co-developed a speech keyword-spotting model for Samsung’s EnnovateX hackathon, which advanced to the second qualification round, and built an MLOps pipeline for network intrusion detection. At Hackfinity, I delivered production React.js components and fixed a critical frontend data-pipeline bug.

Experience

Work history, roles, and key accomplishments

HA

Software Developer

Hackfinity

Jun 2024 - Aug 2024 (2 months)

Delivered production React.js components and resolved a critical frontend data pipeline bug during the sprint cycle. Built reusable, responsive UI components, reducing cross-device rendering inconsistencies.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology (VIT) Chennai logoVC

Vellore Institute of Technology (VIT) Chennai

Bachelor of Technology, Computer Science and Engineering (AI & ML)

2024 -

Grade: 8.77/10.0

Activities and societies: Coursework includes Machine Learning, Deep Learning, Data Structures & Algorithms, Operating Systems, DBMS, Computer Networks, OOP, and Software Engineering.

Pursuing a Bachelor of Technology in Computer Science and Engineering with a focus on AI & ML, maintaining a CGPA of 8.77/10.0.

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