ASL

AS SWARNA LAKSHMI

AI Engineer

https://www.opentalent.in/as-swarna-lakshmi

AI Engineer with less than a year in Java, Cloud, and Deep Learning.

Key Strengths

Demonstrated ability in end-to-end AI application development, including data collection, preprocessing, feature extraction, and real-time verification.
Proficiency in deep learning models (YOLOv8) for object detection and image classification, with experience in model training, validation, and deployment.
Strong understanding of data management practices, including dataset lifecycle, annotation, and version tracking.
Experience in designing system architectures for AI model inference pipelines and integrating input/output data flows.
Familiarity with frontend development (HTML, CSS, JavaScript) and User Experience Design principles for building responsive interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects show a strong alignment with AI/ML and application development, which fits well with an AI Engineer role. Their involvement in hackathons and research papers demonstrates initiative and a drive for continuous learning and problem-solving. The breadth of skills across AI, cloud, and frontend development indicates adaptability and a willingness to explore diverse technical areas. However, the lack of professional experience means their cultural fit in a corporate setting is yet to be fully proven.

Soft Skills & Operational Fit

The candidate demonstrates strong documentation and research skills, which are crucial for maintaining project quality and knowledge transfer. Their experience in implementing real-time admin alerts and aligning with SLA monitoring concepts indicates an understanding of operational aspects and system availability. Collaboration in cross-functional teams and active participation in workshops suggest a proactive approach to learning and teamwork.

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About

Results-driven B.Tech Information Technology graduate (2026) with hands-on experience in Java application development, AI/ML model implementation, and Cloud fundamentals. Proven ability to build and deploy end-to-end solutions, manage data pipelines, and support production-quality systems. Experienced in collaborating across teams, maintaining documentation, and ensuring output quality aligned with project standards. Seeking to contribute to Cloud Design, Application Development, and Data Management in a dynamic technology environment.

Top Skills

Deep LearningPythonJavafeature-extraction

Education

Sona College of Technology

B.Tech · Information Technology

August 1, 2022 – June 30, 2026

Cheran Matric. Hr. Sec. School

Class XII · Higher Secondary

June 1, 2021 – May 31, 2021

Cheran Matriculation School

Class X · Secondary School

June 1, 2019 – May 31, 2019

Projects

Intelligent Residual Feature Mining for Deepfake Content Verification

January 1, 2026 – Present

Architected and implemented an end-to-end AI application covering data collection, preprocessing, feature extraction, and real-time content verification — demonstrating full Application Development lifecycle ownership. Developed a responsive frontend using HTML, CSS, and JavaScript, applying User Experience Design principles to ensure accessible, intuitive interfaces. Implemented real-time admin-alert mechanisms to support system availability and incident response workflows, aligned with Service Level Agreement (SLA) monitoring concepts. Managed complete dataset lifecycle including collection, annotation, and preprocessing – directly supporting Data Management best practices. Maintained detailed technical documentation, research reports, and quality standards throughout all project phases.

Kidney Stone Detection using YOLOv8

January 1, 2026 – Present

Trained, validated, and deployed a YOLOv8 deep learning model for precise stone localization — building production-ready model pipelines with performance evaluation and quality validation. Managed structured data pipelines: dataset collection, annotation, preprocessing, and version tracking — reinforcing Data Management expertise. Designed system architecture for model inference pipeline, integrating input/output data flows with accuracy benchmarks meeting defined quality standards. Produced comprehensive documentation and presentations, ensuring reproducibility and knowledge transfer across team members.

Certifications

GPU Computing & AI

NVIDIA

June 1, 2026 – Present

Angular Certification

Infosys Springboard

June 1, 2026 – Present

Artificial Intelligence

Infosys Springboard

June 1, 2026 – Present

Internet of Things

NPTEL

June 1, 2026 – Present

Key Strengths

Demonstrated ability in end-to-end AI application development, including data collection, preprocessing, feature extraction, and real-time verification.
Proficiency in deep learning models (YOLOv8) for object detection and image classification, with experience in model training, validation, and deployment.
Strong understanding of data management practices, including dataset lifecycle, annotation, and version tracking.
Experience in designing system architectures for AI model inference pipelines and integrating input/output data flows.
Familiarity with frontend development (HTML, CSS, JavaScript) and User Experience Design principles for building responsive interfaces.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit