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Akshay Garlapati

AI/ML Intern • Hyderabad, India • a****************@gmail.com • +91*******544 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

AI/ML Intern with 1+ years of internship and project experience building real-time, AI-driven applications and threat-detection pipelines. Skilled in Python, machine learning (scikit-learn), NLP, FastAPI, Flask and Streamlit; experienced in model development, feature engineering, API deployment and end-to-end prototype delivery for education and security-focused use cases.

Technical Skills

Programming Languages: Python,Java,C,JavaScript
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: scikit-learn,pandas,numpy,Flask,FastAPI
Databases: SQL
Data and Analytics: feature engineering,model evaluation,Random Forest,SVM,NLP
Tools and Methodologies: Speech-to-Text,Text-to-Speech,Git,GitHub,VS Code,Jupyter Notebook
Web, APIs & UI: Streamlit
Software Engineering & Processes: SDLC,STLC,Agile methodology,test case design,defect tracking

Work Experience

AICTE Edunet Foundation
Hyderabad, India
AI and ML Intern
Dec 2025 – Jan 2026
Interned at AICTE Edunet Foundation on AI and ML initiatives supporting education technology and student-facing learning tools.
Tech Stack: Python, Streamlit, FastAPI, scikit-learn, pandas, numpy, NLP, Speech-to-Text, Text-to-Speech, Git
  • Designed and deployed a Streamlit-based Study Buddy application to generate personalized study plans; integrated adaptive scheduling and recommendations to improve user learning efficiency.
  • Implemented recommendation components with feature engineering and user-behavior signals using pandas and scikit-learn, delivering tailored suggestions with ~1 second response time.
  • Built a voice-enabled interview and assessment module using Speech-to-Text, NLP pipelines, and Text-to-Speech to enable real-time candidate evaluation with sub-3-second interaction latency.
  • Developed FastAPI endpoints to serve model predictions and recommendations; containerized API-ready prototypes and validated end-to-end request/response flows for demo deployments.
  • Authored preprocessing and model training pipelines for classification and ranking tasks, validating model performance via cross-validation and standard metrics to guide iterative improvements.
  • Collaborated with mentors to produce technical documentation, user guides and test cases; performed functional testing and resolved defects to stabilize internship deliverables.
IEEE EMBS Student Internship Program
Hyderabad, India
Student Intern
Jun 2025 – Jul 2025
Participated in IEEE EMBS student internship focused on engineering applications in biomedical and healthcare-related systems and research support.
Tech Stack: Python, scikit-learn, pandas, numpy, Jupyter Notebook, Git
  • Supported research-oriented tasks by implementing machine learning prototypes for signal and dataset analysis using Python, pandas and scikit-learn.
  • Conducted exploratory data analysis and feature extraction to prepare biomedical datasets for model training and validation, improving data quality for downstream models.
  • Implemented and evaluated classification models and benchmarking scripts; documented model behavior and generated reproducible Jupyter notebooks for review.
  • Optimized data preprocessing workflows to reduce manual cleaning time and standardized transformation steps for consistent experiment pipelines.
  • Prepared technical reports and presented findings to supervisors, highlighting model performance, limitations, and recommended next steps for further research.
  • Followed SDLC and STLC practices during the internship: wrote test cases, logged defects, and iterated on code based on feedback to meet project milestones.

Projects

Smart AI Recruitment Assistant with Voice Interaction
Tools Used: Python, NLP, Speech-to-Text, Text-to-Speech, Flask, scikit-learn, feature engineering
  • Architected an AI-driven recruitment platform to automate resume screening using NLP and machine learning, reducing manual shortlisting effort by ~40% through automated ranking.
  • Developed a voice-enabled interview module combining STT, NLP and TTS to enable live candidate interaction and evaluation with under 3 seconds response latency.
  • Integrated resume parsing, feature extraction and ML-based ranking models into a prototype web interface to streamline recruiter workflows.
AI-Based Cyber Threat Detection System
Tools Used: Python, scikit-learn, Random Forest, SVM, FastAPI, feature engineering, pandas
  • Engineered a machine learning threat detection pipeline using Random Forest and SVM models achieving ~90% accuracy on test datasets for malicious activity identification.
  • Built a FastAPI-based real-time prediction pipeline and optimized preprocessing to process over 10,000 records, improving detection throughput and reliability.
  • Implemented end-to-end feature engineering, model validation and monitoring-ready outputs to support prototype security analytics.
AI-Powered Study Buddy (AICTE AI & ML Internship Project)
Tools Used: Python, Streamlit, scikit-learn, pandas, recommendation systems, feature engineering
  • Constructed a Streamlit application that generates personalized study plans and adaptive recommendations, improving user efficiency by ~30% in pilot tests.
  • Optimized recommendation algorithms using user-input signals and behavior patterns to deliver targeted study suggestions with ~1 second response time.
  • Packaged the prototype with clear user flows and deployment scripts for instructor demos and student trials.

Education

Bharat Institute of Engineering and Technology
B.Tech in Computer Science and Engineering • Hyderabad, India • 2022 – 2026
Navya Junior College
M.P.C (Intermediate) • Hyderabad, India • 2019 – 2021
Geetanjali Vidyalaya
SSC • Hyderabad, India • 2019 – 2019

Certifications

ISRO IIRS - Geo-data Sharing and Cyber Security — ISRO IIRS
AI Skills Passport (AI, business, sustainability) — EY & Microsoft
Artificial Intelligence Fundamentals — IBM SkillsBuild • Oct 2025
Artificial Intelligence and Machine Learning Internship — AICTE and Edunet Foundation

Achievements

  • Smart India Hackathon 2025 - Engineered AI-based Laser QR Code Marking System for Indian Railways — 2025
  • Smart India Hackathon 2024 - Created a smart education platform for community-based skill exchange — 2024
  • Certificate of Appreciation - Edzeeta Student Partner Program

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