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AI Engineer with less than a year in Machine Learning, Generative AI, and Python.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have a background in Computer Science (Data Science) and I am seeking an opportunity to gain practical exposure. I aim to learn from real-world tasks, improve my skills, and contribute effectively to the team in achieving its objectives.
Godavari Institute of Engineering and Technology
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Vidya Vikas Junior College
Intermediate Education
June 1, 2020 – May 31, 2022
Vidya Vikas EM High School
Secondary School
June 1, 2019 – May 31, 2020
Offensive Language Classification
June 1, 2026 – Present
Worked on classifying tweets into hate speech, offensive, and normal categories using supervised machine learning techniques to support automated content moderation. Built an end-to-end NLP pipeline in Python using NLTK, TF-IDF, and Count Vectorizer with optimized classifiers, and exposed real-time predictions through a Flask REST API integrated with a web-based frontend. Attained 88% accuracy while improving detection efficiency by approximately 20%, and generated visual performance analyses to enhance moderation insights and online safety monitoring.
View ProjectStomach Disease Prediction
June 1, 2026 – Present
Established a Random Forest-based multi-label disease prediction system using scikit-learn to analyze symptom data across 10,000+ patient records. Processed and transformed medical data to enable accurate multi-label disease identification. Demonstrated 90% accuracy with average inference time below 120 ms, enabling fast and reliable early disease detection.
View ProjectTyping Speed Test Web Application
June 1, 2026 – Present
Architected a real-time typing analysis application using React.js with optimized state updates, processing over 1,500+ keystrokes per session with latency below 50ms. Implemented high-resolution timing algorithms to calculate Character Per Minute (CPM) and typing accuracy with millisecond-level precision. Developed efficient text comparison logic to evaluate user input in real time, achieving error detection accuracy above 96%. Enhanced rendering performance by minimizing unnecessary component refreshes, improving overall application responsiveness by nearly 40%.
View ProjectMicrosoft Power BI
Jobaaj Learning
January 1, 2025 – Present
SQL Data Analysis Professional
Jobaaj Learning
June 1, 2024 – Present
Data Analytics with Python
Nptel
May 1, 2024 – Present
Foundations of Python Programming
Infosys
November 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate an interest in diverse applications of AI, from content moderation to medical prediction, which aligns with a broad problem-solving mindset. The academic nature of all projects and lack of professional experience suggest a need for mentorship and structured team environments. The certifications indicate a proactive learning attitude, which is a positive cultural trait. However, the absence of collaborative projects or team roles makes it hard to assess cultural fit beyond individual initiative.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication skills, quick learning, and team collaboration as soft skills. The project descriptions indicate an ability to work on defined tasks and achieve specific metrics (e.g., accuracy, latency). However, without actual work experience or behavioral assessment data, it's difficult to fully assess operational fit or the depth of these soft skills in a professional setting.