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Software Developer with 1+ years in AI, Machine Learning & Full-stack Development
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Assessing your cultural and operational fit
Motivated BTech (AIML) graduate with strong skills in Python, JavaScript, and machine learning, along with hands-on experience in AI training, model development, and data processing. Proficient in building and debugging applications, analyzing datasets, and applying core software development principles. Experienced collaborating on academic and internship projects to deliver functional solutions and data-driven insights. Seeking an entry-level software engineering role to apply technical skills, problem-solving ability, and a continuous learning mindset while contributing to innovative and scalable product development.
Kakatiya Institute of Technology and Sciences
Bachelor of Technology · CSE(AIML)
N/A – June 30, 2024
ACTALYST.ai
Software Developer
September 1, 2025 – Present
Hyderābād, Telangana, India
DECCAN AI AUTOMATION PRIVATE LIMITED
Product Management Intern (CONTRACT)
August 1, 2025 – October 1, 2025
Hyderābād, Telangana, India
3CORTEX
Intern
July 1, 2022 – August 1, 2022
Hyderābād, Telangana, India
CISCO
Intern
June 1, 2022 – August 1, 2022
Hyderābād, Telangana, India
Prediction of Cardiac Arrhythmia
August 1, 2023 – Present
• Developed a machine learning model to predict cardiac arrhythmias using UCI Machine Learning Repository ECG data for early detection of heart rhythm abnormalities. • Preprocessed ECG data, including cleaning and normalization, to ensure high-quality inputs for model training. • Extracted key features such as heart rate variability and PQRST complex from ECG signals to enhance classification accuracy. • Implemented and compared machine learning algorithms like Support Vector Machine (SVM), and K-Nearest Neighbors (KNN), XG Boost and Linear Regression for arrhythmia classification. • Evaluated model performance using confusion matrices, accuracy scores achieving 98%.
Parking Lot Space Detection
January 1, 2022 – Present
• Developed a real-time parking lot space detection system using computer vision and image processing techniques. • Processed video frames with methods like grayscale conversion, Gaussian blurring, and edge detection for improved feature extraction. • Utilized region-of-interest (ROI) segmentation to focus on parking areas, optimizing computational efficiency. • Applied contour detection and binary thresholding techniques to classify parking spaces as occupied or vacant. • Implemented OpenCV for video processing and real-time detection of available parking spaces. • Achieved 98% in detecting vacant parking spaces with live surveillance footage.
Introduction to Machine Learning
Swayam NPTEL
June 19, 2026 – Present
Data Science and Cloud Solutions
3Cortex
July 1, 2022 – Present
Cybersecurity
Cisco Networking Academy
June 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, including cardiac arrhythmia prediction and parking lot space detection, shows a broad interest in applying AI/ML to different domains. The internships at CISCO and 3CORTEX, along with the current role at ACTALYST.ai, indicate exposure to various organizational structures and types of work (cybersecurity, data science, software development). The target role of 'Software Developer' aligns well with the candidate's current experience and stated career objective. The breadth of skills across programming languages, web development, database management, and machine learning frameworks suggests adaptability and a willingness to learn new technologies, which are positive indicators for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through various internships and certifications. Collaboration with product and engineering teams is mentioned, indicating an understanding of teamwork. The project descriptions show problem-solving ability and attention to detail in achieving high accuracy rates. The current role involves debugging and optimizing code, which suggests a focus on reliability and performance. However, the resume does not provide extensive details on communication style, stress handling, or specific instances of team collaboration beyond general statements.