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Sornapudi Leena Keerthi

B.Tech Student — AI/ML Intern • Vishakapatnam, India • k***************@gmail.com • 701****788 • linkedin.com/•••••

Professional Summary

AI/ML-focused Computer Science student with hands-on internship experience building computer-vision and NLP prototypes. Practical experience in Python-based model development, data processing, web scraping, and full-stack Python projects. Seeking an entry-level AI/ML or data science role where I can apply deep learning, computer vision, and NLP skills to deliver measurable product improvements and user-focused solutions.

Technical Skills

Programming Languages: Python,Java,JavaScript
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: TensorFlow,Keras,PyTorch,scikit-learn,OpenCV,Pandas,NumPy,Matplotlib,Seaborn,Flask
Databases: SQL
Cloud and DevOps: Linux
Tools and Methodologies: Jupyter Notebook,Git,Google Cloud Platform,MS Office
NLP & Speech: NLTK,spaCy,SpeechRecognition,pyttsx3
Web, APIs & Scraping: BeautifulSoup,requests

Work Experience

BHEL
Vishapatnam, India
Industrial Training
07/2022 – 01/2023
Tech Stack: MS Office, Excel, CSV, Linux
  • Assisted engineering team in capturing operational and sensor data from production equipment; organized datasets in Excel and CSV for downstream analysis.
  • Performed exploratory data analysis to identify key metrics and trends; prepared visual reports and presentations for supervising engineers using MS Excel and PowerPoint.
  • Contributed to a small process-mapping exercise that documented data flows and measurement points, helping define requirements for future automation.
  • Supported prototype testing activities by coordinating data collection, logging test parameters, and validating results against expected behavior.
  • Collaborated with cross-functional trainees and engineers to troubleshoot instrumentation and connectivity issues, improving data reliability for analyses.
  • Documented training learnings and produced a concise handover report summarizing observations, data samples, and suggested analytics next steps.
Teachnook
Vishapatnam, India
Internship
07/2023 – 08/2023
Tech Stack: Python, Jupyter Notebook, scikit-learn, Git
  • Developed interactive Python learning modules and hands-on exercises for beginner students, improving engagement in coding sessions.
  • Created sample projects and guided learners through implementing basic machine learning classifiers using scikit-learn.
  • Provided one-on-one mentoring and code reviews to peers and learners, reducing common application errors and improving code quality.
  • Prepared teaching materials and step-by-step guides for setting up Python environments and Jupyter notebooks.
  • Assisted in designing assessment tasks that tested both algorithmic thinking and practical Python usage.
  • Collected learner feedback and iterated on content to clarify concepts around supervised learning and data preprocessing.
CodSoft
Vishapatnam, India
Intership
05/2024 – 06/2024
Tech Stack: Python, HTML, CSS, JavaScript, BeautifulSoup, REST APIs
  • Contributed to front-end and back-end features for internal web tools using HTML, CSS, and JavaScript, improving usability for QA workflows.
  • Implemented REST API endpoints and data validation routines to support small-scale internal applications using Python.
  • Built web-scraping utilities to extract structured product data for prototype projects, using requests and BeautifulSoup.
  • Collaborated with developers to integrate scraped data into a lightweight SQLite-backed prototype for demo purposes.
  • Wrote unit tests and simple automation scripts to streamline data ingestion and reduce manual preprocessing time.
  • Documented development steps and maintained a changelog to support knowledge transfer within the team.
Unique Advice
Vishakapatnam, India
Internship in Python Full Stack
05/2025 – 07/2025
Tech Stack: Flask, Python, REST APIs, SQLite, Git
  • Developed backend REST APIs with Flask to support a Python full-stack application and integrated endpoints with front-end views.
  • Implemented database models and CRUD operations to maintain product and user data, enabling reliable prototype functionality.
  • Integrated a trained ML inference script into the backend to expose model predictions via API, enabling rapid prototype demos.
  • Built frontend components to consume APIs and display model outputs, improving demo usability for stakeholders.
  • Performed end-to-end testing and debugging across the stack, resolving data format and serialization issues to stabilize demos.
  • Prepared deployment-ready documentation and runbook to assist in future handover and continued development.
Infosys
Remote (Vishakapatnam, India)
Artificial Intelligence Intern
02/2026 – 04/2026
Tech Stack: TensorFlow, Keras, OpenCV, Python, Jupyter Notebook, REST APIs
  • Developed and trained convolutional neural network prototypes for gesture recognition tasks, applying data augmentation and transfer learning to improve robustness.
  • Implemented computer-vision pipelines with OpenCV for preprocessing, real-time frame capture, and performance validation on edge-like environments.
  • Optimized model architectures and inference routines to reduce latency and memory footprint for resource-constrained deployment scenarios.
  • Collaborated with a cross-functional team to integrate ML components into a demo application, exposing inference via lightweight REST APIs.
  • Authored reproducible training scripts and experiment logs in Jupyter, enabling reproducibility and streamlined model iteration.
  • Presented results and technical documentation to mentors, highlighting model trade-offs, evaluation metrics, and suggested next steps for productionization.

Projects

Hand Movement Recognition Using Convolutional Neural Networks
Tools Used: TensorFlow, Keras, OpenCV, Python
  • Designed and trained a CNN model to recognize hand gestures to aid communication for paralytic users, using image augmentation and transfer learning.
  • Built a preprocessing pipeline with OpenCV to normalize input frames and improve model generalization across lighting and background conditions.
  • Evaluated model performance on held-out samples, iterating on architecture and hyperparameters to improve gesture recognition accuracy.
  • Packaged the model and inference pipeline for demonstration on a local machine to validate real-time responsiveness and usability.
AI Chat Bot using Python
Tools Used: Python, NLTK, scikit-learn
  • Built an intent-recognition pipeline using tokenization, feature extraction, and machine learning classifiers to map queries to responses.
  • Implemented response generation logic and fallback handling, improving conversational coverage for common queries.
  • Tested and refined the chatbot across sample dialogs to increase correct intent classification and reduce ambiguous responses.
Aling Me — Intelligent Posture Detection System
Tools Used: OpenCV, Python, TensorFlow
  • Designed a computer-vision-based posture detection prototype that monitors posture in real time and flags deviations.
  • Used pose-estimation techniques and classification logic to detect posture anomalies and trigger user notifications.
Groc Smart — Smart Grocery Comparison Website
Tools Used: Python, BeautifulSoup, requests, Flask
  • Developed a web tool that fetches live product pricing from multiple platforms via web scraping and APIs to suggest best deals.
  • Implemented comparison logic and a simple frontend to display aggregated results and decision guidance for users.
Charlie — Privacy Centric Offline Voice Assistant
Tools Used: SpeechRecognition, pyttsx3, NLTK, Python
  • Built an offline voice assistant performing speech recognition, intent parsing, and text-to-speech locally to ensure user privacy.
  • Integrated command handling for system automation and local application control while optimizing for resource-constrained devices.

Education

Pollocks School
High School • Vishakapatnam, India • 2020
Government Polytechnic For Women Bheemunipatnam
Diploma in Computer Mechanical Engineering • Bheemunipatnam, India • 2020 – 2023
Andhra University College of Engineering For Women
B.Tech in Computer Science And System Engineering • Vishakapatnam, India • 2023 – 05/2026

Certifications

Google Cloud Computing Foundations — Google
NPTEL / SWAYAM Certificate — NPTEL / SWAYAM

Achievements

  • Secured Second Prize in Smart India Hackathon (Internal Level): Awarded second prize for team project in institutional Smart India Hackathon event.
  • Main Organizer — National Level Hackathon: Build Bharat Through AI 2025 — 2025: Led organization efforts and coordination as recognized by a Certificate of Appreciation.
  • Main Organizer — Student Startup Expo 2025 — 2025: Organized campus-level startup expo; awarded Certificate of Appreciation for leadership and execution.

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