COGNIZANT TECHNOLOGY SOLUTIONS, Chennai, India
Programmer Analyst (Artificial Intelligence & Analytics)
September 2023 – December 2025
Designed, trained, and deployed machine learning models (CNNs, anomaly detection) to identify
patterns and irregularities in large datasets, achieving 95% accuracy and reducing false positives by
20%.
Built and maintained automated data pipelines for data collection, cleaning, transformation, and
processing using Python and SǪL.
Performed data wrangling, validation, and quality checks to ensure accuracy and suitability for
analytics and modelling.
Developed predictive and classification models to analyze trends, forecast outcomes, and identify
operational risks and opportunities.
Implemented statistical and machine learning techniques using Scikit-learn and TensorFlow.
Collaborated with cross-functional teams and business stakeholders to translate analytical results
into actionable insights.
Developed and deployed RESTful APIs to integrate ML and GenAI models into enterprise applications.
Worked on Generative AI implementations across the SDLC, improving automation and operational
efficiency.
COGNIZANT TECHNOLOGY SOLUTIONS, Chennai, India
AI/ML Intern
May 2023 – September 2023
Automated testing and data-driven workflows using Python and Selenium, improving efficiency by
30%.
Applied data structures, algorithms, and analytical problem-solving to optimize system performance.
CERTIFICATIONS and WORKSHOPS
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Microsoft Azure Fundamentals
Cloud architecture, Azure Services and Management tools on Azure
Oracle Academy
Foundation of Database Management System Concepts
FICE Education Private Limited
Artificial Intelligence and High-Performance Computing
Association of Mechatronics Engineers
Workshop on Sensory Perception for Autonomous Driving Using Python
NVIDIA Deep Learning Institute
Building Video AI Application using Jetson Nano
PROJECTS
Title: REAL-TIME VIDEO ANALYTICS ON NVIDIA JETSON NANO
Summary: Deployed a YOLOv5-based object detection model on Jetson Nano using TensorRT for hardware
acceleration. Optimized the pipeline with Deep Stream SDK, achieving 22 FPS at 720p. Integrated MQTT for
edge-to-cloud alerts and reduced power consumption by 30% via motion-triggered inference. Tools: Python,
OpenCV, TensorRT, ONNX.
Title: KNEE-OSTEOARTHRITIS SEVERITY PREDICTION Using Deep Learning
Summary: Developed a deep learning-based application to classify knee osteoarthritis severity (Healthy,
Moderate, Severe) from X-ray images. Implemented CNN architectures (Manual CNN, VGG-16, LeNet-5),
achieving up to 99% accuracy with LeNet-5. Preprocessed and augmented 4,500+ images using rescaling,
histogram equalization, zoom, and flipping to enhance model generalization. Deployed the trained model via
Django with an HTML/CSS interface for real-time severity prediction. Compared models based on accuracy,
recall, precision, and misclassification percentage to determine optimal performance. Demonstrated the
effectiveness of deep learning in medical imaging for early, automated diagnosis, enabling faster clinical
decision-making.
Title: GENERATIVE-AI TEST CASE GENERATOR
Summary: Developed an AI-driven system to generate positive and negative test cases from unstructured
requirement documents using LLMs (GPT-4, LLaMA-2) and Lang Chain. Implemented OCR and NLP pipelines
for requirement extraction, stored embeddings in Pinecone for semantic retrieval, and automated structured
test case creation with validation. Enabled export to Excel/CSV/JSON and integration with Jira/TestRail/Azure
DevOps, reducing manual QA effort by 75%.
Title: GEN-AI POWERED KNOWLEDGE TRANSFER ASSISTANT for Seamless Knowledge Management
Summary: Engineered an AI-driven onboarding assistant leveraging GPT-4/LLaMA-2 via Lang Chain to
transform unstructured Knowledge Transfer assets (PDFs, docs, videos) into interactive, searchable
knowledge. Built NLP pipelines with OCR and speech-to-text, storing vector embeddings in
Milvus/Pinecone for semantic retrieval and delivered contextual Q&A and keyword search across
multimodal data, with exportable results (PDF/Excel/JSON) and dashboard integration—cutting
onboarding time and senior SME reliance by 60%.
TECHNICAL SKILLS
Programming & Scripting: Python, SQL, C++
Machine Learning: Scikit-learn, TensorFlow, CNNs, Predictive Modelling, Anomaly Detection
Data Engineering: Data Pipelines, ETL, Data Cleaning, Data Transformation
Gen-AI & NLP: GPT-4, LLaMA-2, Lang Chain, Vector Databases
Cloud & DevOps: Azure, Docker, Kubernetes, CI/CD, Git, Bitbucket
Databases: dB Visualizer, SQL Databases, Power Apps
ROLES and RESPONSIBILITIES
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Represented the Gen-C community at the Cognizant Delivery Summit-2024, highlighting my project with
PepsiCo Frito-Lay North America.
Served as a Gen-C representative at Cognizant's North America client year-end
celebration.
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Organized Events and workshops for Cognizant’s client visit.
