Machine Learning Engineer with 5+ years of experience
Machine Learning Engineer with 5+ years of experience
I hold a Master's in Computer Science with a GPA of 3.94/4, skilled in software engineering, machine learning, and data mining. Experience includes optimizing models, system development, and data analysis.
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EMPLOYMENTS
Machine Learning Engineer
IMRSV Data Labs
2020-09-01-Present
Led the deployment of Language models on edge devices by applying model compression techniques, reducing inference time for offli...
Led the deployment of Language models on edge devices by applying model compression techniques, reducing inference time for offline speech-to-speech capabilities by 40%.
Implemented a Retrieval-Augmented Generation (RAG) system to enable question-answering on large document collections by providing contextual document information to a large language model (LLM).
Utilized profiling tools to identify and optimize bottlenecks in the test suite, cutting execution time from 45 minutes to under 5 minutes and significantly accelerating the development and release cycle.
Ingested 2 million real-time events per month by integrating Kafka with Elasticsearch, achieving scalable data processing for real-time analytics.
Developed a file upload system from scratch using Django, MinIO/S3, Redis, Celery, Docker Compose Networking, and WebSockets, tripling upload throughput and enabling real-time updates.
Engineered a logging system from the ground up to stream logs to Grafana Loki, handling over 1 million log entries daily for enhanced real-time monitoring.
Django
Amazon S3
WebSocket
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Django
Amazon S3
WebSocket
Redis
Elasticsearch
Profiling
Celery
Analytics
Network
Apache Kafka
Docker Compose
Grafana
Data compression
Speech technologies
Large Language Models
Retrieval-Augmented Generation
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Data Scientist
Gyandhan
2017-06-01-2017-07-01
Identified potential clients through data mining, collaborating closely with the operations team, and contributing to a 15% incre...
Identified potential clients through data mining, collaborating closely with the operations team, and contributing to a 15% increase in lead generation.
Employed Python for data scraping, cleaning, and aggregation, providing crucial insights into unstructured data.
Strengthened development processes through comprehensive code reviews, resulting in optimized solutions and higher code quality.