Hi, I'm Nissanth Neelakandan Abirami, a passionate machine learning and data science enthusiast currently pursuing my Master's degree at the University of Southern California. I've worked on various AI and data engineering projects, ranging from developing generative AI models to building scalable data pipelines and real-time applications. My work experience includes deploying innovative solutions at companies in Los Angeles and Texas. I enjoy leveraging cutting-edge technologies like LLaMA, Amazon SageMaker, and federated learning to solve real-world problems. When I'm not coding or experimenting with AI models, I like collaborating with cross-functional teams to bring impactful tech solutions to life. I'm always excited to learn more and contribute to the AI and machine learning community.

Nissanth Neelakandan Abirami

Hi, I'm Nissanth Neelakandan Abirami, a passionate machine learning and data science enthusiast currently pursuing my Master's degree at the University of Southern California. I've worked on various AI and data engineering projects, ranging from developing generative AI models to building scalable data pipelines and real-time applications. My work experience includes deploying innovative solutions at companies in Los Angeles and Texas. I enjoy leveraging cutting-edge technologies like LLaMA, Amazon SageMaker, and federated learning to solve real-world problems. When I'm not coding or experimenting with AI models, I like collaborating with cross-functional teams to bring impactful tech solutions to life. I'm always excited to learn more and contribute to the AI and machine learning community.

Available to hire

Hi, I’m Nissanth Neelakandan Abirami, a passionate machine learning and data science enthusiast currently pursuing my Master’s degree at the University of Southern California. I’ve worked on various AI and data engineering projects, ranging from developing generative AI models to building scalable data pipelines and real-time applications. My work experience includes deploying innovative solutions at companies in Los Angeles and Texas.

I enjoy leveraging cutting-edge technologies like LLaMA, Amazon SageMaker, and federated learning to solve real-world problems. When I’m not coding or experimenting with AI models, I like collaborating with cross-functional teams to bring impactful tech solutions to life. I’m always excited to learn more and contribute to the AI and machine learning community.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

Generative AI Engineer at LVC Solutions LLC
March 1, 2025 - Present
Engineered a multi-stage interview automation platform using LLaMA, Amazon SageMaker, and Amazon Connect, integrating IVR calls, NLP-based resume parsing, ATS ranking, semantic scoring, and automated Google Meet scheduling based on chatbot screening. Built an OCR-powered recipe recommendation engine employing the Gemini model for scanned bill analysis, using AWS Lambda and S3 for pipeline orchestration to extract item-price pairs via Textract and enable personalized suggestions with 92% accuracy.
Generative AI and Data Engineering Intern at Pilvi Systems
April 30, 2025 - July 20, 2025
Collaborated with cross-functional teams and deployed a Retrieval-Augmented Generation (RAG) QA framework employing Amazon SageMaker leveraging Titan Text Embeddings for enterprise data vectorization. Engineered scalable data pipelines with Apache Hadoop, Kafka, and MongoDB, processing 100,000+ job listings with 91% accuracy. Built an ETL pipeline using Airflow and Python for web scraping and visualized trends in Tableau, resulting in a 62% rise in tech roles and a 25% drop in manufacturing from 2005 to 2023.
Machine Learning Engineer at University of Southern California
March 31, 2025 - July 20, 2025
Engineered a Global semantic space and modified Cross-entropy loss for Image Segmentation, achieving a 50% reduction in loss and enhancing model accuracy for multiclass segmentation by leveraging DeeplabV3 and Mask R-CNN. Implemented federated learning on Raspberry Pi for real-time assistance to the visually impaired, reducing data transfer costs by 30%, and developed AWS-hosted RESTful APIs that reduce mobile app latency by 25% through optimized interface and cloud integration.

Education

Master of Science at University of Southern California
August 1, 2023 - May 31, 2025
Bachelor of Engineering at Anna University (Sri Venkateswara College of Engineering)
August 1, 2019 - May 31, 2023

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Healthcare, Manufacturing, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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