Farhan Naqvi

Fähigkeiten und Kenntnisse

AI Agents
Algorithms
Applied Machine Learning
Data Science
Artificial Intelligence (AI)
Database Management System (DBMS)
Go (Programming Language)
Back-end Operations
Deep Learning
C++
Machine Learning
gRPC
Deep Neural Networks (DNN)
Computer Vision
Image Processing
Matplotlib
Concurrent Programming
Distributed Systems
Java
Microsoft Office
Docker
JavaScript
CPP
Model Context Protocol (MCP)
Jenkins
Data Analytics
Elastic Stack (ELK)
Multi-agent Systems
Knowledge Graphs
Multithreading
FastAPI
NumPy
Kubernetes
Multivariate Analysis
Object-Oriented Programming (OOP)
Generative AI
Multivariate Statistics
LangGraph
OpenCV
GitHub
Large Language Models (LLM)
MySQL
Operating Systems
Natural Language Processing (NLP)
Red Hat Linux
Statistics
Oracle Database
Regression Models
Supervised Learning
pandas
Research Skills
Systems Design
Pattern Recognition
Retrieval-Augmented Generation (RAG)
Tableau
PostgreSQL
Scalable Vector Graphics (SVG)
Time Series Analysis
Python (Programming Language)
XGBoost
Scikit-Learn
Time Series Forecasting
Random Forest
Shell Scripting
Transfer Learning
Spring Boot
Unsupervised Learning
SQL
Vector Databases
Statistical Modeling
Video Processing

Werdegang

Berufserfahrung von Farhan Naqvi

  • 6 Monate, Apr. 2025 - Sep. 2025

    Software Engineer II (MTS II)

    Cohesity

    - Improved system reliability by designing and implementing garbage collection (GC) logic in StargateService, including proactive mount-level failure detection and recovery under high-load conditions. - Enhanced interoperability by enabling external metadata parsing in a Go-based adapter using Protobuf extensions, within a constrained proto environment. - Built and maintained high-performance services in C++ with gRPC and Protocol Buffers, focusing on concurrent file operations, thread safety, and stress-te

  • 5 Monate, Dez. 2024 - Apr. 2025

    Software Engineer I (MTS I)

    Cohesity

    - Developing and maintaining high-performance services using gRPC and C++, focusing on concurrent file operations with thread safety. - Implementing and optimizing stress testing to ensure system robustness under high-load scenarios.

  • 1 Jahr und 6 Monate, Juli 2023 - Dez. 2024

    Associate Software Engineer

    Veritas Technologies LLC

    - Lead anomaly detection efforts in structured workloads (Oracle, MySQL) by designing and applying advanced statistical techniques and machine learning models to monitor data ingestion, deletion, and modification at a granular level, identifying malicious spikes and ensuring data integrity. - Enhancing system performance and security through proactive outlier detection, optimizing machine learning models for anomaly identification, and collaborating with cross-functional teams to enforce robust data governa

  • 2 Jahre und 3 Monate, Apr. 2021 - Juni 2023

    Research And Development Intern - RGSTC Lab

    Pune Institute of Computer Technology

    Responsible for spearheading research initiatives aimed at advancing Indian Sign Language Recognition through cutting-edge video processing techniques and state-of-the-art Deep Learning models. Key responsibilities and accomplishments include: 1. Developed and implemented feature-based models, achieving a remarkable maximum accuracy of 99.71%, and keypoint-based models with a maximum accuracy of 95.61%. 2. Investigated and evaluated emerging architectures such as Video Vision Transformers, transfer learnin

Ausbildung von Farhan Naqvi

  • Bis heute 2 Jahre und 1 Monat, Okt. 2025 - Okt. 2027

    Master of Science - MS

    University of Stuttgart

    Specialization: Autonomous Systems Relevant Coursework: Foundations of AI · Machine Perception and Learning · Information Visualization and Analytics · Data Warehousing, Data Mining, and OLAP · Cloud Computing · Mobile Robotics

  • 2019 - 2023

    Bachelor of Engineering - BE

    Pune Institute of Computer Technology

    Relevant Coursework: Data Structures and Algorithms, Cloud Computing, Object Oriented Programming, Database Management Systems, Advanced Database Management Systems, Machine Learning, Deep Learning, Operating Systems, Data Science and Big Data Analysis, Blockchain Technology, Engineering Mathematic

Sprachen

  • Hindi

    B1-B2 (Gute Kenntnisse)

  • Marathi

    A1-A2 (Grundkenntnisse)

  • Englisch

    C2 (Verhandlungssicher / Muttersprachlich)

  • Deutsch

    A1-A2 (Grundkenntnisse)

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