Binsika P.

Key Skills

Software

No software listed

Top Subject Matter

Automated code review

static code analysis

and LLM-assisted feedback for programming quality.

Top Data Types

Text

Top Task Types

Function Calling

Freelancer Overview

AI Intern — AI-powered code review and automated bug detection modules.. Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Technology, St. Xavier's Catholic College of Engineering, Nagercoil (2026) and Higher Secondary School Diploma, Holy Angels Matric Hr. Sec. School, Kanyakumari (2022). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Computer Programming, Coding, and Evaluation.

Labeling Experience

AI Intern — AI-powered code review and automated bug detection modules.

Built an AI-powered code review system using Python AST parsing and an LLM (Groq LLaMA) to automatically check code quality issues across a large set of scripts. The work focused on detecting syntax and PEP8 violations and generating automated feedback to reduce manual review effort. Responsibilities included designing modular Flask components and an NLP-driven pipeline for scalable integration of additional rule engines and models.• Analyzed 100+ scripts and detected 60–70% of syntax and PEP8 violations.• Reduced manual code review effort by 40% using automated checks and intelligent feedback.• Delivered Flask-based bug detection/optimization feedback with results in under 3 seconds.• Engineered an OOP modular NLP pipeline to support future rules and models.

2026 - 2026

Data Science Intern — ML data preparation, model evaluation, and dashboarding.

Text

Performed end-to-end data analysis and trained machine learning models for machine learning applications. The work included preparing multiple structured datasets, training/evaluating models, and presenting results through interactive dashboards for stakeholders. Responsibilities covered using SQL/Pandas/NumPy workflows to transform raw data into training-ready formats and quantify predictive performance.• Transformed raw data into 5+ structured datasets using Pandas and NumPy.• Trained and evaluated Scikit-learn models achieving 70–80% accuracy and MAE of 0.25–0.35.• Built Power BI dashboards backed by SQL queries to reduce stakeholder query time by 30–40%.

2025 - 2025

Python Developer Intern — Flask/SQL application with data handling workflows.

Function Calling

Developed a full-stack Flask and SQL application supporting users and product record management, including modular backend design and optimized user workflows. While the role was primarily application development, it supported data handling through SQL-backed systems and iterative testing improvements. Key contributions were around building data-centric backend functionality that supports structured record operations used by application users.• Built a Flask + SQL application supporting 50+ users and 100+ product records.• Designed modular backend architecture to reduce bug occurrences and refactoring cycles by 20–30% during testing.• Implemented optimized user workflows improving task completion efficiency by 25–35% versus manual processes.

2024 - 2024

Education

Work History