AI Engineer with 1+ years in ML, Python & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI Engineer with 1.8 years of experience specializing in Machine Learning, AI, and LLM-driven solutions. Proven ability to develop and deploy scalable backend services using Python and FastAPI, integrate AI features into web solutions, and optimize data processing with strong cybersecurity measures. Eager to leverage deep learning and NLP skills to create impactful technological innovations and improve system efficiency.
The NorthCap University
B.Tech · Computer Science
August 1, 2020 – June 30, 2024
CloudNation Hq
Frontend AI Engineer
October 1, 2025 – Present
Panchkula, Haryana, India
DotBiz India
Software Developer-FTC
September 1, 2024 – September 1, 2025
India
Volkswagen Group Technology Solutions India(VWITS)
Software Developer Intern
March 1, 2024 – September 1, 2024
Gurgaon, Haryana, India
National Technical and Research Organization (Government of India)
Software Developer Intern
June 1, 2023 – August 1, 2023
Delhi, Delhi, India
Newgen Software Technologies Limited
Backend Developer Intern
July 1, 2022 – August 1, 2022
Noida, Uttar Pradesh, India
Image Denoising Using Deep Learning
June 3, 2026 – Present
• Designed a convolutional autoencoder model for image denoising and restoration, achieving 75% accuracy and reducing noise levels by 60% through techniques like Gaussian blurring and contrast adjustment. • Optimized training time by 50% using Adam optimizer and custom loss functions; leveraged Python, TensorFlow, Keras, OpenCV, and other libraries for implementation.
View ProjectAI Voice Enabled Chatbot using NLP
June 3, 2026 – Present
• Handled over 1,000 user queries/week, reducing response latency by 35% via ML-based automation. • Developed a Google search automation system, reducing manual FAQ updates by 50%.
View ProjectCloud-Synced Eye Tracker MVP
June 3, 2026 – Present
• Built a full-stack eye-tracking wellness MVP in 3-4 days using OpenCV, FastAPI, React, and PyQt5, enabling real-time blink detection (<100ms latency) and screen-time health monitoring. • Designed an offline-first cloud sync architecture, buffering local session data and automatically syncing to backend APIs, supporting reliable data uploads (<500ms) during network recovery. • Implemented secure backend APIs with JWT authentication and GDPR compliance, handling user data export, deletion, and session tracking, while supporting 1KB/hour efficient session storage.
Cultural Fit Analysis
The candidate demonstrates a strong interest and specialization in AI/ML through their education, projects, and recent work experience, aligning well with an AI Engineer role. The diversity of projects (chatbots, image denoising, eye tracking, sports prediction) shows a broad application of AI skills. The mix of personal projects and internships, including government and corporate settings, indicates adaptability and a proactive learning attitude. However, the experience level is relatively junior (1 year stated, but some roles are future-dated or internships), which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (e.g., optimizing training time, reducing latency) and a results-oriented approach (quantifiable achievements). Experience in diverse team settings (internships) suggests adaptability and collaboration potential. The ability to quickly build an MVP (Cloud-Synced Eye Tracker) indicates strong execution and rapid prototyping skills.