Available to hire
I am an AI and Machine Learning Engineer with over 5 years of experience building innovative, production-ready ML, deep learning, and data engineering solutions in healthcare, telecom, and smart-city domains. Skilled in developing scalable AI models, deploying them on cloud platforms like AWS and Azure, and integrating them into business workflows, I focus on delivering impactful data-driven solutions that reduce operational costs and improve predictive accuracy.
I am passionate about collaborating with diverse teams to turn complex challenges into actionable insights, leveraging my expertise in Python, TensorFlow, PyTorch, advanced NLP, and MLOps practices. I am open to relocation and eager to contribute my skills to new opportunities that push the boundaries of AI technology.
Skills
Language
English
Advanced
Hindi
Intermediate
Work Experience
AI/ML Engineer at UHC
November 1, 2024 - PresentDesigned and deployed real-time CT scan classification with TensorFlow Serving on Kubernetes, improving detection speed by 40%. Developed LLM-based medical document understanding pipelines for automated clinical report summarization and implemented RAG-based clinical knowledge retrieval with vector databases. Built Spark ML pipelines for OCR anomaly detection and integrated AWS Fraud Detector to flag fraudulent claims in real-time. Established HIPAA-compliant AI dashboards hosted on AWS and implemented automated model monitoring and drift detection with MLflow and CloudWatch, reducing inference costs by 20%. Collaborated with radiologists and compliance teams to ensure clinical safety and regulatory adherence.
Machine Learning Engineer at Tech Nova Solutions
May 1, 2023 - August 20, 2025Developed churn prediction models using Logistic Regression, LightGBM, and XGBoost that reduced telecom customer churn by 18%. Built real-time streaming churn detection pipelines with Kafka and Spark Structured Streaming. Created automated ML pipelines using Airflow, Docker, and Kubernetes with CI/CD deployment. Developed Transformer-based NLP models for telecom complaint classification, improving ticket resolution prioritization by 30%. Implemented feature store and model governance frameworks including fairness metrics and bias detection; led A/B testing and mentored junior engineers on ML best practices.
AI Developer at Confidential
September 1, 2020 - August 20, 2025Developed computer vision-based traffic density detection using CNN and YOLO, reducing signal wait time by 25%. Implemented real-time inference on Raspberry Pi integrated with GPIO relays for adaptive traffic light control. Integrated OpenCV preprocessing and designed edge-deployment pipelines for low-power devices ensuring minimal latency and resource consumption. Developed multi-intersection simulation framework and alert systems using Flask APIs. Collaborated with academic and municipal partners for proof-of-concept and real-world adoption.
Project Lead (Smart Traffic Management - B. Tech Project)
April 1, 2019 - August 20, 2025Built a lightweight CNN and YOLO solution to detect vehicle density and dynamically adjust signal timing, reducing wait time by 25%. Collected and labeled data; designed simulation frameworks in Python and OpenCV; deployed prototype on Raspberry Pi with GPIO control. Benchmarked models on Jetson Nano and Raspberry Pi for latency and performance; collaborated with municipal advisors to validate and explore scalability for smart city adoption.
AI/ML Engineer at UHC
November 1, 2024 - PresentDesigned and deployed real-time CT scan classification models using TensorFlow Serving and Kubernetes, improving critical-case detection speed by 40%. Developed LLM-based medical document understanding pipelines for automated clinical report summarization, implementing RAG-based retrieval systems to enhance performance. Built Spark ML pipelines for OCR-based anomaly detection. Integrated AWS Fraud Detector and Glue streaming ETL to flag fraudulent claims at submission. Created HIPAA-compliant AI dashboards hosted on AWS. Established automated model monitoring, drift detection, and retraining triggers using MLflow and AWS CloudWatch. Optimized CNN architectures for medical image segmentation and reduced GPU inference costs by 20%. Collaborated with radiologists and compliance teams to ensure safety and regulatory adherence.
Machine Learning Engineer at Tech Nova Solutions
May 1, 2023 - August 20, 2025Developed customer churn prediction models using Logistic Regression, LightGBM, and XGBoost, reducing churn by 18%. Built real-time streaming churn detection pipelines with Kafka and Spark Structured Streaming. Automated ML pipelines using Airflow, Docker, and Kubernetes with CI/CD via GitLab CI. Integrated ML scoring APIs into Django-based dashboards for live risk scoring. Designed Transformer-based NLP models for complaint classification improving ticket resolution by 30%. Constructed high-volume SQL and MongoDB aggregation pipelines. Performed Bayesian hyperparameter optimization and implemented a custom Spark-based feature store. Developed model governance frameworks focusing on fairness and explainability and led A/B testing for model validation. Mentored junior engineers on best practices.
AI Developer at Confidential
September 1, 2020 - August 20, 2025Developed computer vision-based traffic density detection systems using CNN and YOLO, reducing signal wait times by 25%. Implemented real-time inference on edge devices (Raspberry Pi) integrated with GPIO-controlled relays for adaptive traffic lights. Integrated OpenCV preprocessing and built modular scripts for training and benchmarking models on edge hardware. Designed scalable multi-intersection simulation frameworks to test traffic control strategies. Used IoT protocols for sensor and video feed ingestion and developed alert systems notifying abnormal traffic patterns. Collaborated with academic and municipal partners to demonstrate proof-of-concept for smart city adoption.
AI Developer (B. Tech Project) at Self-directed / Academic
April 1, 2019 - August 20, 2025Built a lightweight CNN and YOLO-based smart traffic management system to detect vehicle density and adjust traffic signals dynamically. Collected and labeled data and trained models using TensorFlow achieving a 25% reduction in wait time. Designed a Python/OpenCV simulation framework for adaptive signal timing and deployed prototypes on Raspberry Pi integrating GPIO controls. Conducted benchmarking on edge devices and collaborated with municipal advisors to validate feasibility and scalability.
AI/ML Engineer at UHC
November 1, 2024 - PresentDesigned and deployed real-time CT scan classification on Kubernetes with TensorFlow Serving, improving critical-case detection speed by 40%. Developed LLM-based medical document understanding pipelines for automated clinical report summarization and RAG-based clinical knowledge retrieval using vector databases. Built Spark ML pipelines for OCR-based anomaly detection with flexible data ingestion modules. Integrated AWS Fraud Detector and Glue streaming ETL to flag fraudulent claims instantly. Implemented HIPAA-compliant AI dashboards on AWS and established automated model monitoring, drift detection, and retraining triggers. Optimized CNN architectures for medical image segmentation and reduced GPU inference costs by batch inference and mixed precision training. Collaborated with radiologists, data engineers, and compliance teams to ensure safety and regulatory adherence.
Machine Learning Engineer at Tech Nova Solutions
May 1, 2023 - August 20, 2025Developed churn prediction models with Logistic Regression, LightGBM, and XGBoost, reducing customer churn by 18% through targeted retention campaigns. Built low-latency streaming churn detection pipelines using Kafka and Spark Structured Streaming. Created end-to-end automated ML pipelines with Airflow, Docker, Kubernetes, and GitLab CI/CD. Integrated ML scoring APIs into Django dashboards for live churn risk scores. Designed Transformer-based NLP models for telecom complaint classification, improving ticket prioritization by 30%. Handled high-volume SQL and MongoDB aggregations for billions of call-detail records. Performed Bayesian hyperparameter optimization and implemented a custom Spark-based feature store. Developed model governance frameworks ensuring fairness, bias detection, and explainability. Led A/B testing and mentored junior engineers on ML best practices.
AI Developer at Confidential
September 1, 2020 - August 20, 2025Developed computer vision-based traffic density detection using CNN and YOLO, reducing signal wait times by 25% in simulations. Implemented real-time inference on Raspberry Pi integrated with GPIO relays for adaptive traffic light control. Integrated OpenCV preprocessing techniques and built modular training scripts with automated augmentation and tuning. Benchmarked models across edge devices for trade-offs. Designed scalable multi-intersection traffic simulation frameworks and integrated IoT protocols for real-time sensor data. Developed alert systems notifying operators of abnormal traffic patterns through Flask APIs. Collaborated with academic and municipal partners to present proof-of-concept findings for adoption.
Education
Master of Science in Computer Science at Auburn University at Montgomery, USA
January 11, 2030 - January 1, 2024Bachelor of Technology in Electronics and Communication Engineering at JNTU Anantapur, India
January 11, 2030 - January 1, 2020Master of Science at Auburn University at Montgomery
January 11, 2030 - January 1, 2024Bachelor of Technology at JNTU Anantapur
January 11, 2030 - January 1, 2020Master of Science in Computer Science at Auburn University at Montgomery, USA
January 11, 2030 - January 1, 2024Bachelor of Technology in Electronics and Communication Engineering at JNTU Anantapur, India
January 11, 2030 - January 1, 2020Qualifications
AWS Certified Cloud Practitioner
January 11, 2030 - August 20, 2025Deep Learning Specialization - Coursera
January 11, 2030 - August 20, 2025IBM Machine Learning with Python
January 11, 2030 - August 20, 2025Google Data Analytics Professional Certificate
January 11, 2030 - August 20, 2025AWS Certified Cloud Practitioner
January 11, 2030 - August 20, 2025Deep Learning Specialization - Coursera
January 11, 2030 - August 20, 2025IBM Machine Learning with Python
January 11, 2030 - August 20, 2025Google Data Analytics Professional Certificate
January 11, 2030 - August 20, 2025AWS Certified Cloud Practitioner
January 11, 2030 - August 20, 2025Deep Learning Specialization - Coursera
January 11, 2030 - August 20, 2025IBM Machine Learning with Python
January 11, 2030 - August 20, 2025Google Data Analytics Professional Certificate
January 11, 2030 - August 20, 2025Industry Experience
Healthcare, Telecommunications, Transportation & Logistics, Government, Software & Internet
Skills
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