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AI Engineer with less than a year in LLM-powered applications and machine learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate (CGPA: 8.9/10, 2026) with hands-on experience in AI/ML, Computer Vision, Backend Development, and Data Analytics. Skilled in building LLM-powered applications, machine learning models, and scalable backend systems using Python, Docker, Kubernetes, and AWS. Experienced in developing AI chatbots, facial analysis systems, and CI/CD pipelines with a strong understanding of software development and cloud technologies. Passionate about solving real-world problems through AI and data-driven solutions. Seeking opportunities as a Software Developer, AI/ML Engineer, or Data Scientist.
Vivekananda Global University, Jaipur
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
KvonTech Consultancy Services Private Limited
AI/ML Intern
January 1, 2026 – April 1, 2026
India
LinuxWorld Informatics Pvt. Ltd.
AI/ML Software Engineer Intern
June 1, 2025 – September 1, 2025
India
Text-to-Speech & Speech-to-Text Conversion System
March 1, 2026 – March 1, 2026
Built a bidirectional Speech AI system converting audio ↔ text using SpeechRecognition (Google Speech API) and synthesizing voice using gTTS and pyttsx3; integrated PyAudio for real-time microphone input at 16kHz sampling rate. Implemented noise filtering and silence detection improving transcription accuracy by 35%; deployed as a Flask web application with browser-based UI — end-to-end response time under 1.2 seconds.
Emotion Detection System
December 1, 2025 – December 1, 2025
Developed a real-time emotion recognition system detecting 7 facial emotions (happy, sad, angry, surprise, fear, disgust, neutral) from live video streams using Convolutional Neural Networks (CNN). Implemented facial landmark detection and deep learning classification using TensorFlow and Keras achieving 88% validation accuracy; built OpenCV image preprocessing pipeline for face detection and normalization.
CI/CD Automation Pipeline for ML Application
September 1, 2025 – September 1, 2025
Designed a full CI/CD pipeline automating build, test, and deployment of a Flask-based ML application, reducing deployment time by 60%; containerized with Docker and orchestrated with Kubernetes. Integrated GitHub Actions workflows for automated testing and Jenkins for continuous delivery to AWS EC2; achieved 99.2% uptime in production.
Cultural Fit Analysis
The candidate's diverse academic projects and internship experiences in AI/ML, DevOps, and backend development align well with the dynamic and interdisciplinary nature of an AI Engineer role. Their passion for solving real-world problems through AI and data-driven solutions indicates a strong cultural fit for an innovation-driven environment. The breadth of skills and technologies covered suggests adaptability and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to problem-solving, as evidenced by implementing noise filtering to improve transcription accuracy and performing root cause analysis during internships. Their involvement in the full SDLC and collaboration across teams suggest good operational fit and teamwork potential. The detailed project descriptions indicate strong communication skills in conveying technical achievements.