Highly accomplished Data Scientist with a proven track record in building scalable AI solutions, optimizing system performance, and significantly reducing infrastructure costs. Expertise spans high-performance data pipelines, vector search, automation agents, and cloud-native CI/CD, leveraging technologies like Kafka, OpenSearch, FAISS, and Kubernetes to drive efficiency and innovation. Adept at transforming complex data into actionable insights and delivering measurable impact across diverse technical domains.
Data Scientist 1
Ahmedabad, Gujarat, India
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Summary
Led the development and optimization of scalable AI solutions and data pipelines, significantly enhancing operational efficiency and reducing infrastructure costs for Genuin Codebase LLP.
Highlights
Optimized Kafka pipelines for PostgreSQL and OpenSearch integration, achieving a 0% reduction in data sync latency for real-time data flow.
Engineered high-performance vector search pipelines using FAISS and OpenSearch, decreasing query response times from 2 seconds to 300 milliseconds.
Automated CI/CD pipelines for deployments to Kubernetes and bare-metal servers, slashing deployment time by 80%, and migrated services to bare-metal infrastructure, cutting costs by 60%.
Engineered automated video ingestion pipelines, handling over 5,000 videos monthly and reducing manual workloads by 95%.
Developed AI-powered browser automation agents, significantly increasing user task efficiency, and implemented scalable task orchestration systems for efficient data pipeline management.
Machine Learning Intern
Ahmedabad, Gujarat, India
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Summary
Contributed to the improvement and deployment of AI/ML models and pipelines, driving significant gains in accuracy, efficiency, and safety for driveBuddyAI.
Highlights
Improved object detection models, boosting accuracy by 50% and throughput by 20%.
Developed scalable PyTorch pipelines, enhancing model iteration speed and deployment efficiency by 30%.
Built an AI-driven collision warning system integrated with Roadside Monitoring, reducing false alerts by 35%.
Volunteer
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Summary
Conducted a comprehensive community survey to assess socio-economic disparities and challenges within a rural village.
Highlights
Surveyed over 100 residents across the village to identify daily difficulties and evaluate socio-economic disparities.
Collected and analyzed data to understand community needs and inform potential development initiatives.
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B.Tech
Computer Science and Engineering
Grade: 8.10 CPI
Published by
Advancements in Smart Computing and Information Security
Summary
Developed a deep learning model for early-stage Parkinson's Disease detection, achieving 97.62% accuracy in classifying handwriting patterns.
Published by
Journal of Innovative Image Processing
Summary
Implemented a deep learning approach using triplet loss for chromosome image classification, achieving an accuracy of 89.96%.
Python, Go, JavaScript, C/C++, Java.
FastAPI, Langchain, React, PyTorch, NumPy, Pandas, Plotly.
Git, Jira, Kubernetes, FFmpeg, Kafka, OpenSearch.
PostgreSQL, MongoDB, Elasticsearch, Milvus, Redis, Aerospike.
AWS, OCI, Bare-metal Servers, Docker, Kubernetes.
AI Solutions, Machine Learning, Deep Learning, Object Detection, Vector Search, Automation Agents, Data Pipelines, Model Optimization, CI/CD Pipelines, Task Orchestration.
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Summary
Developed an observability solution for AI agents, encompassing data pipeline construction and a real-time monitoring dashboard.