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محمد زيشان أشرف, AI ML Engineer - SDE

محمد زيشان أشرف

AI ML Engineer - SDE·Atlassian

المملكة العربية السعودية

ماجستير, Computer Science And Engineering

الخبرة العملية

مجموع سنوات الخبرة: 9 سنوات, 11 أشهر

AI ML Engineer - SDE

أكتوبر 2024 - حتى الآن

Atlassian

الرياض، المملكة العربية السعودية

أكتوبر 2024 - حتى الآن

Working as a Lead Engineer to identify, fix, support and monitor security bugs in Confluence DC using SAST, DAST & AI Agents.

- Built the customer query resolution tool using Rovo Agent and RAG in LangChain, and is capable of resolving more than 200 queries per month, reducing the efforts by more than 100 hours of time

- Built a Jira issue classification Agent for reported issues by users & SAST tool, classifying more than 100 tickets every
day.

- Built, tested & deployed a multi-agent LLM App using Claude to fix product backlog issues to resolve 1500+ code smell issues reported by SonarQube
Leading the team to fix the user-reported bugs and implementing the vulnerability pipeline to fix vulnerabilities reported by SAST & DAST cybersecurity tools.
مجال الشركة:
تطوير البرمجيات
الدور الوظيفي:
تكنولوجيا المعلومات

Software Development Engineer - ML & Experimentation Platform

يونيو 2024 - أكتوبر 2024

TripAdvisor - Kaamwork Pvt Ltd

حيدر اباد، الهند

يونيو 2024 - أكتوبر 2024

As a Machine Learning Software Engineer, I did feature engineering, built a data pipeline, and tested & fine-tuned to improve model accuracy.

- Built a fast Data cleaning pipeline & Monitoring dashboard, which improved the model accuracy by 18% by ensuring high-quality data input & interpolation techniques, and reduced the data processing time by 70% using spark DataFrame.

- Did model experimentation using A/B testing as part of the experimentation platform.
مجال الشركة:
وكالات السفر
الدور الوظيفي:
تكنولوجيا المعلومات

Software Development Engineer

أغسطس 2022 - سبتمبر 2023

Amazon Development Centre

حيدر اباد، الهند

أغسطس 2022 - سبتمبر 2023

Worked in the Roster Project, Roster is an Amazon AWS team project for the headcount management team, where Amazon maintains all the headcounts in a hierarchical structure. I have designed & developed a headcount forecasting tool using NeuralProphet to forecast future requirements, developed integration & unit test frameworks of components to reduce downtime & increase resilience.
مجال الشركة:
تطوير البرمجيات
الدور الوظيفي:
تكنولوجيا المعلومات

Software Development Engineer - Data Science Platform

يوليو 2019 - يوليو 2022

Swiggy

حيدر اباد، الهند

يوليو 2019 - يوليو 2022

Developed a scalable Feature Service in a Data Science Platform, handling over 100 billion ML model queries daily. It integrates multiple data sources & able to serve with millisecond latency. Additionally, I developed an anomaly detection system in FastAPI, scikit-learn, and Isolation Forest.

- Developed, tested & deployed an end-to-end Feature Service for ML Models which integrates data from Kafka, Spark, S3, MySQL and Snowflake, capable of serving with millisecond latency and able to scale well.

- Did pagination & caching to reduce response time by 5 seconds per request.

- Led the successful near-zero downtime migration of the feature scheduler for 1500+ features.

- Built, evaluated, tested and monitored an Anomaly detection system for delivery time using Fast API, scikit-learn and Isolation Forest.
مجال الشركة:
تطوير البرمجيات
الدور الوظيفي:
تكنولوجيا المعلومات

Software Intern

مايو 2018 - يوليو 2018

Samsung R&D

بنغالورو، الهند

مايو 2018 - يوليو 2018

Recover erroneous data in real time received on 5G network using ML & improvement using CNN on raw IQ samples.
مجال الشركة:
الاتصالات والشبكات
الدور الوظيفي:
تكنولوجيا المعلومات

System Engineer

يناير 2014 - أبريل 2017

Ibm

بنغالورو، الهند

يناير 2014 - أبريل 2017

Analysing, debugging & fixing batch abends during data processing in the production environment. Suggested recommendation system for Walmart, Software feature development, Release & Change Management tasks, Control-M batch.
مجال الشركة:
تطوير البرمجيات
الدور الوظيفي:
تكنولوجيا المعلومات

التعليم

International Institute of Information Technology Hyderabad

يوليو 2019

يوليو 2019

ماجستير، Computer Science And Engineering

الهند

المعدل التراكمي (التقدير): ممتاز

المعدل التراكمي (التقدير): ممتاز

Statistical Methods in AI Machine Learning Advanced Problem Solving Operating Systems Discrete Maths & Algorithms Game Design & Engineering Distributed System Database systems Distributing Trust & Blockchain Speech Systems

Indian Institute of Engineering and Science Technology Shibpur

يونيو 2013

يونيو 2013

بكالوريوس، Information Technology

الهند

Skills

Information Technology
Expert
Information Technology
Expert
Software
Expert
Software
Expert
Software Development
Expert
Software Development
Expert
Artificial Intelligence
Expert
Artificial Intelligence
Expert
Machine Learning
Expert
Machine Learning
Expert
Data Analysis
Intermediate
Data Analysis
Intermediate
Computer Vision
Intermediate
Computer Vision
Intermediate
Artificial Intelligence
Intermediate
Artificial Intelligence
Intermediate
Software Development
Expert
Software Development
Expert
Natural Language Processing
Expert
Natural Language Processing
Expert
COMPUTER PROGRAMMING
Expert
COMPUTER PROGRAMMING
Expert
DATA SCIENCE
Expert
DATA SCIENCE
Expert
MACHINE LEARNING
Expert
MACHINE LEARNING
Expert
QUERY OPTIMIZATION
Expert
QUERY OPTIMIZATION
Expert
WEB CACHE
Expert
WEB CACHE
Expert
SOFTWARE ENGINEERING
Expert
SOFTWARE ENGINEERING
Expert
RESTFUL API
Expert
RESTFUL API
Expert
ENGINEERING ANALYSIS
Expert
ENGINEERING ANALYSIS
Expert
Docker
Expert
Docker
Expert
Kubflow
Intermediate
Kubflow
Intermediate
LangChain
Expert
LangChain
Expert
PyTorch
Expert
PyTorch
Expert
Spark
Expert
Spark
Expert
PySpark
Expert
PySpark
Expert
Shell Script
Expert
Shell Script
Expert
Unix
Expert
Unix
Expert
Linux
Expert
Linux
Expert
SpringBoot
Intermediate
SpringBoot
Intermediate
Spring
Intermediate
Spring
Intermediate
CrewAI
Expert
CrewAI
Expert
Random Forest
Expert
Random Forest
Expert
Decision Tree
Expert
Decision Tree
Expert
NLP
Intermediate
NLP
Intermediate
FastAPI
Expert
FastAPI
Expert
RAG
Expert
RAG
Expert
GPT-4
Intermediate
GPT-4
Intermediate
LLM
Expert
LLM
Expert
Python
Expert
Python
Expert
LangGraph
Expert
LangGraph
Expert
React
Expert
React
Expert
Pandas
Expert
Pandas
Expert
Kafka
Expert
Kafka
Expert
MySQL
Expert
MySQL
Expert
SQL
Expert
SQL
Expert
S3
Expert
S3
Expert
Prometheus
Expert
Prometheus
Expert
Grafana
Expert
Grafana
Expert
PowerBI
Intermediate
PowerBI
Intermediate
Git
Expert
Git
Expert
Tableau
Intermediate
Tableau
Intermediate
Jenkins
Intermediate
Jenkins
Intermediate
Snowflake
Expert
Snowflake
Expert
Hive
Intermediate
Hive
Intermediate
Chroma Vector DB
Intermediate
Chroma Vector DB
Intermediate
ChatGPT
Intermediate
ChatGPT
Intermediate
Llama
Intermediate
Llama
Intermediate
Scikit-learn
Expert
Scikit-learn
Expert
Numpy
Expert
Numpy
Expert
Linear Regression
Expert
Linear Regression
Expert
NeuralProphet
Intermediate
NeuralProphet
Intermediate
AI Agent
Expert
AI Agent
Expert
Agentic AI
Expert
Agentic AI
Expert
A/B Testing
Expert
A/B Testing
Expert
Kubernetes
Intermediate
Kubernetes
Intermediate
Java
Expert
Java
Expert
Redis
Expert
Redis
Expert
AWS
Intermediate
AWS
Intermediate
EC2
Expert
EC2
Expert
DynamoDB
Expert
DynamoDB
Expert
API Gateway
Expert
API Gateway
Expert
Cloudwatch
Intermediate
Cloudwatch
Intermediate
ECS
Intermediate
ECS
Intermediate
EKS
Intermediate
EKS
Intermediate
SageMaker
Beginner
SageMaker
Beginner
Lambda
Expert
Lambda
Expert
VPC
Intermediate
VPC
Intermediate

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