AI Engineer with 1+ years in Full-Stack Development & Machine Learning
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An AI/ML Engineer with around 2 years of Full-Stack Development experience building scalable and modular applications. Certified in Cybersecurity (CC) by ISC2. Looking forward to leveraging my software development expertise, analytical mindset, and commitment to continuous learning to drive innovative solutions and contribute to the organization's success.
Amrita Vishwa Vidyapeetham
MTech · Artificial Intelligence
August 1, 2024 – June 30, 2026
A.P.J Abdul Kalam Technological University
BTech(Hons.) · Electronics and Communication
August 1, 2017 – June 30, 2021
SAP Labs India Pvt. Ltd.
iXp Intern
August 1, 2025 – June 1, 2026
Bengaluru, Karnataka, India
Good Methods Software Solutions Pvt Ltd.
Full-Stack Developer
August 1, 2021 – April 1, 2022
Thiruvananthapuram, Kerala, India
Optimizing Adversarial Attacks on GAN using Evolutionary Algorithm
January 1, 2026 – January 1, 2026
Conducted a research project on how chained adversarial attacks on a medical-data augmentation DC-GAN can be optimized using Evolutionary Algorithm, to help expose GAN vulnerability and has future scope in the domain of Adversarial Learning. Publication status: Accepted to IEEE Congress on Evolutionary Computation (CEC) Conference, 2026, Netherlands.
Image De-Noising using Deep Learning
January 1, 2025 – January 1, 2025
Created a low-cost CNN model to de-noise Rain Images. Suitable for edge devices where memory is limited. Trained, validated, tested, and evaluated the model using metrics such as MSE, PSNR, SSIM. Created a novel synthetic rainy image dataset from a drone-view image dataset of outdoor scenes.
ASL Sign Language Classifier using Azure Cloud Services and Explainable AI
January 1, 2025 – January 1, 2025
Developed an ASL classifier using VGG-16, and implemented multiple XAI techniques (LIME, Grad-CAM, etc.) to analyze model predictions, using Azure Blob Storage, Databricks, and ML Studio.
Multi AI Agent Systems with crewAI
DeepLearning.AI
June 1, 2026 – Present
Certified in Cybersecurity (CC)
ISC2
June 1, 2026 – Present
AI Engineering Professional Certificate
IBM, Coursera
June 1, 2026 – Present
Responsible and Safe AI
NPTEL
January 1, 2025 – Present
Cybersecurity and Privacy
NPTEL
January 1, 2025 – Present
SAP Cloud Application Programming (CAP) Model
SAP
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI topics like adversarial attacks, explainable AI, and efficient deep learning models for edge devices. The ongoing MTech in AI and multiple AI-related certifications (Responsible and Safe AI, AI Engineering Professional Certificate, Multi AI Agent Systems with crewAI) show a commitment to continuous learning and staying current with industry trends. The full-stack development experience, while not directly AI, indicates a versatile engineer capable of building end-to-end solutions, which is valuable in many AI roles. The publication acceptance to an IEEE conference further underscores a proactive and research-oriented mindset, aligning well with an innovative culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Creative Writing, Leadership, Public Speaking, Teamwork, Problem Solving, and Analytical Thinking. These, combined with experience in Agile environments and CI/CD setup, suggest a good operational fit for collaborative and dynamic engineering teams. The research background also indicates strong problem-solving and analytical capabilities.