Shashank Jain

Lead ML Engineer

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates3 yrs 10 mos experience

Key Highlights

Expert in MLOps and machine learning model deployment.
Developed innovative SAAS products leveraging advanced technologies.
Proven track record in optimizing infrastructure for financial applications.

Stackforce AI infers this person is a SaaS and Fintech specialist with strong MLOps and machine learning expertise.

Contact

Skills

Core Skills

MlopsMachine LearningCloud ApplicationsDjangoDevopsPython

Other Skills

AirflowMichelangeloFlaskStreamlitSnowflakeKubernetesDockerDjango REST FrameworkElastic Stack (ELK)TornadoApache KafkaKafkaElasticAnsibleAngularJS

About

I am delving into the realms of machine learning and AI, driven by the desire to seamlessly integrate emerging technologies from across the world. Presently, I'm immersed in the journey of building REST APIs, orchestrating the integration of Machine Learning models to harness their full potential. I'm focusing on deploying these models through Microservices, enhancing the application's scalability and reliability. My ultimate goal is to forge a proficient trajectory within computer science, broadening the horizons of knowledge and learning along the way.

Experience

3 yrs 10 mos

Total Experience

11 mos

Average Tenure

Current Experience

Uber

MLOps Engineer

Jul 2024 – Jan 2025 · 6 mos · Gurugram, Haryana, India · Hybrid

Orchestrated the integration and Strategic analysis of a proactive churn prevention model using Athena Kafka Workflow for real-time late delivery tracking, resulting in a 5% increase in GB and trips in the Taiwan market.
Developed regression-based models for accurate GB and FTE targeting for AM in OneMartech Budget Allocation. Built a streamlit based dashboard for interactive result analysis.
Conducted research and developed various model orchestrations leveraging Michelangelo for procuring MLOps pipeline.

AirflowPythonMichelangeloFlaskStreamlitMachine Learning+2

Cars24

MLOps Engineer

Aug 2023 – Jun 2024 · 10 mos · Delhi, India · On-site

1. Automated end-to-end model deployment, seamlessly integrated diverse models to streamline infrastructure.
2. Implemented scalable solutions to enhance the overall model deployment experience.
3. Played a pivotal role in optimizing and enhancing the Credit infrastructure and Risk Modelling within the Finance vertical at Cars24.

PythonMLOpsDjangoFlaskCloud ApplicationsAirflow+3

Nobroker.com

MLOps Engineer

Apr 2022 – Aug 2023 · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

Served as an MLOps engineer, leading the deployment of machine learning models into production. Accomplishments include:
1. Developed CallZen, a SAAS product, from the ground up using Django, Kafka, Elastic, Mongo, and other tools. This innovative product utilizes call-based machine learning analytics to extract and emphasize call details and participants. Multiple ML models, including speech-to-text and cosine similarity search, are employed to identify significant moments within the call.
2. Contributed to Smart Search, a product aimed at simplifying property searches by leveraging user behavior to extract relevant property information.
3. Created Rorschach, a fraud detection engine, to determine the legitimacy of customer payments on our platform. This technology assesses payment methods to ensure proper and secure transactions.

Machine LearningPythonDjango REST FrameworkElastic Stack (ELK)TornadoApache Kafka+1

Infosys

System Engineer

Nov 2020 – Jan 2022 · 1 yr 2 mos · India

Utilized a range of languages and frameworks, including Python, Ansible, DevOps, Angular, Java, and MySql.
Developed pivotal core components that oversee container creation and management through a combination of Python Flask and Ansible, effectively orchestrating the execution of successive tasks.
In addition, assumed the role of a System Engineer trainee, crafting an Angular Application that seamlessly interacts with a Java Rest backend application to facilitate communication with the API.

PythonAnsibleDevOpsdockerAngularJSFlask+1

Google summer of code

Google Summer Of Code Scholar at BioGears

May 2020 – Aug 2020 · 3 mos · India · Remote

Worked at Biogears to port the website from Java to Python and build additional plotting tools while creating a build system using CMake for creation of Website Documentation.

PythonJava

Mind mapperz

Machine learning And Computer Vision Technical Executive

Jun 2019 – Jul 2019 · 1 mo · Greater Delhi Area

There I had worked on Machine learning and Computer Vision where my responsibility is to create a robust behavioral management system using computer vision and machine learning.