
AI Research Engineer with 1+ years in Machine Learning & NLP
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Curious and research-oriented AIML undergraduate exploring intersections of artificial intelligence, cognitive computing, and data science. Interested in contributing to cutting-edge research projects that push the boundaries of AI applications in healthcare, automation, and smart systems.
Lords Institute of Engineering & Technology
B.E. · Artificial Intelligence & Machine Learning
June 1, 2022 – June 1, 2026
MS Junior College
Intermediate (MPC) · Mathematics, Physics, Chemistry
June 1, 2020 – July 1, 2021
Job Ali HR Solutions
Digital Marketing Executive (Part-time)
June 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
RAM Innovative Infotech
Machine Learning Intern
February 1, 2025 – Present
India
PDF Summarization Bot using Machine Learning
February 1, 2025 – February 1, 2025
Built a Python-based bot to automatically extract and summarize text from PDF documents using NLP techniques. Used PyMuPDF for text extraction and implemented machine learning-based summarization using TextRank and Transformer models. Output summaries via CLI or web interface. Used libraries: fitz (PyMuPDF), nltk, sumy, transformers, torch, flask
Webscraping Bot for Attendance Tracking
July 1, 2024 – July 1, 2024
Built a Python-based automation tool that logs into a university portal and extracts attendance data. Used Selenium for browser automation and dynamic page interaction. Ensured secure credential handling and added data export functionality. Used libraries: Selenium, pandas, time, os, dotenv, csv
HandGesture-Based Steering Control for Game Simulation
January 1, 2023 – January 1, 2023
Built a real-time hand gesture recognition system using Python and computer vision to control a car's steering in a game environment. The system uses a webcam feed to detect and interpret hand movements to simulate left/right turns, enabling touch-free gameplay interaction. Technologies/Libraries Used: cv2 (OpenCV), mediapipe, numpy, pyautogui, time
Voice-Controlled Web Automation Assistant
January 1, 2022 – January 1, 2022
Developed a Python-based voice assistant to automate basic web browsing tasks using speech commands. The assistant leverages speech recognition and natural language processing to perform actions like opening websites, searching Google, playing YouTube videos, and more. Technologies/Libraries Used: speech_recognition, pyttsx3, webbrowser, pywhatkit, datetime, os, wikipedia, time
Cultural Fit Analysis
The candidate's project diversity, ranging from NLP and computer vision to web automation, indicates a broad interest in AI applications. The target role of AI Research Engineer aligns well with the candidate's stated objective and project focus on AI/ML. The candidate is currently an undergraduate, which suggests a strong learning orientation and potential for growth within a research-focused environment. The mix of personal projects and an internship demonstrates initiative and a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates analytical and problem-solving skills through project execution. Adaptability and quick learning are implied by the diverse range of technologies used across projects. While team collaboration is listed as a soft skill, there is limited evidence of it in the provided project descriptions, which are primarily personal. The digital marketing experience, while not directly technical, shows an ability to manage campaigns and report on performance, indicating some organizational and communication capabilities.