Skip to content

Rithvik Kuchuru

B.S. Computer Science Student • Edison, NJ • r**************@gmail.com • 732****125 • linkedin.com/••••• • drivetube.ai/•••••

Career Objective

Machine Learning Engineer with 0 years of professional experience designing and implementing AI models, machine learning pipelines, and interactive software tools using Python and Java. Solid foundation in supervised learning, NLP, and computer vision through coursework and multiple end-to-end projects; strong software engineering fundamentals and experience building desktop GUIs and simulation-based solutions. Seeking entry-level or internship roles to apply model development, data processing, and software design skills toward production-ready systems.

Education

Rutgers, The State University of New Jersey
B.S. in Computer Science • New Brunswick, NJ • May 2026
Coursework: Software Methodology, Machine Learning Principles, Internet Technology, Data Wrangling, Systems Programming, Numerical Analysis Computing

Technical Skills

Programming Languages: Python,Java
Frameworks and Libraries: TensorFlow,Hugging Face Transformers,scikit-learn,XGBoost,NLTK,Pandas,NumPy,Matplotlib
Data and Analytics: Logistic Regression,Random Forest,Support Vector Machines,Convolutional Neural Networks,Bi-LSTM
Tools and Methodologies: Jupyter Notebook,Git
Skills: Tokenization,Syntactic parsing CFG,Masked language modeling
Algorithms and Optimization: Constraint satisfaction and backtracking,Minimax algorithm,Heuristic optimization
Application and GUI: JavaFX,Pillow

Projects

Stock Price Predictor
Tools Used: Python, Pandas, scikit-learn, Logistic Regression, Random Forest, SVM
  • Engineered dataset of historical price and volume features plus technical indicators (moving averages, volatility) to create classification-ready inputs.
  • Compared Logistic Regression, Random Forest, and SVM models using cross-validation to select best-performing algorithm for short-term direction prediction.
  • Evaluated models with classification metrics, implemented feature selection and preprocessing to improve predictive performance and reduce overfitting.
Sarcasm Detection NLP
Tools Used: Python, Bi-LSTM, CNN, XGBoost, NLTK
  • Designed ensemble NLP classifier combining Bi-LSTM, CNN, and XGBoost on engineered text features to detect satirical headlines.
  • Applied uncertainty sampling to prioritize informative samples during training and reduce labeling noise.
  • Achieved 88% classification accuracy on evaluation dataset through architecture tuning and feature engineering.
Traffic Sign Recognition
Tools Used: Python, TensorFlow, Convolutional Neural Networks, Data augmentation
  • Built end-to-end CNN pipeline to classify 43 traffic sign categories including preprocessing, normalization, and augmentation to improve robustness.
  • Performed hyperparameter tuning and architecture experiments to optimize accuracy and reduce inference time.
  • Implemented training and validation workflows to monitor overfitting and achieve stable generalization across sign classes.
Natural Language Parser
Tools Used: Python, NLTK, Context-free grammars
  • Developed an NLP parser using tokenization and CFG rules to extract noun phrase chunks and structured linguistic features.
  • Integrated syntactic analysis to support downstream language-processing tasks and enable deterministic feature extraction.
Masked Language Model (BERT)
Tools Used: Python, TensorFlow, Hugging Face Transformers, Masked language modeling
  • Implemented a BERT-based masked language model to predict masked tokens and study contextual representations.
  • Analyzed and visualized attention heads to interpret model behavior and surface relationships between tokens.
Crossword Puzzle Generator
Tools Used: Python, Constraint satisfaction and backtracking, Pillow
  • Implemented a CSP-based crossword generator using node/arc consistency and backtracking search with heuristic optimizations.
  • Rendered generated puzzles to PNG using Pillow to produce shareable visual outputs and validated solution correctness.
Tic-Tac-Toe AI
Tools Used: Python, Minimax algorithm, GUI development
  • Built an unbeatable Tic-Tac-Toe agent using the Minimax algorithm with full game logic and optimal decision-making.
  • Designed an interactive user interface to allow head-to-head play and to demonstrate algorithm behavior during gameplay.
Banking System (Java, JavaFX)
Tools Used: Java, JavaFX, Object-oriented design
  • Developed a modular desktop banking application to manage customer accounts, transactions, and interest calculations.
  • Implemented GUI components with JavaFX, input validation, and comprehensive error handling to ensure data integrity and usability.
GUI Calculator
Tools Used: Python, GUI development, Object-oriented programming
  • Designed and implemented a fully functional calculator with a graphical interface, robust error handling, and input validation.
  • Applied OOP principles and unit testing to ensure calculation accuracy and maintainable code structure.

Certifications

AI with Python — HarvardX (edX)

Powered by Drivetube · Create your own profile at drivetube.ai

Explore Drivetube

  • Drivetube Profile — your free digital resume — at drivetube.ai/in/your-name: one true standard resume with a Hiring Snapshot (visa status, expected salary, notice period, work preference, relocation), an ATS-ready PDF download and a single shareable link. Free forever; interview requests come from verified employers and your contact details stay masked until you accept. Documentation.
  • Free Job Board — verified openings crawled ATS-by-ATS from 100,000+ real company career pages across 35 ATS platforms. Shows the true posting date from the source ATS — not when a listing was indexed — and deletes every general listing 3 days after it was actually posted. No ghost jobs, no ad-sponsored listings, no staffing reposts, no account needed. Documentation.
  • Job Hunt Program — managed job hunting, a one-time purchase from $199.99. JobScout matches verified roles to your real experience band, Blend AI writes a uniquely tailored resume and cover letter for every application, and the Autofill extension fills the form — or Let Us Apply submits it for you. Documentation.
  • Resume Writing Services — human-written, ATS-optimised resumes by senior career writers, from ₹499.99 / $25.99. Available in every country, written to the destination country's own standard — a US resume, UK CV, German Lebenslauf and Indian resume are genuinely different documents. A paid service, separate from the free Drivetube Profile. Documentation.
  • Community Membership — from $4.99/month (₹1,999/year in India). Unlocks the gated job-board filters — visa sponsorship, security clearance, workplace and application time — plus Job-Scout AI matching, Resume Report AI, Interview AI prep sheets, Recruiter Outreach AI sent from your own Gmail, Apply or Skip triage, a daily market feed and a $10,000+ library including 23 ATS-validated resume templates. Documentation.
  • Drivetube Hire — for employers — hiring with no job postings and no applications. Paste your real job description and AI matches it against candidates' true standard resumes, returning ranked candidates with a match %, matched and missing skills and written reasoning. Free tier included; employers pay, candidates never do. Documentation.

Full product documentation — every product explained, with feature-by-feature comparisons against the job boards, AI apply tools, resume services and hiring platforms people actually use.

The job board covers the United States, India, United Kingdom, Canada, Europe and Australia, and Resume Writing Services are available in every country.