Rahul M
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Rahul M Email & Phone Number

Product Engineer at Zeko AI
Location: Visakhapatnam, Andhra Pradesh, India 3 work roles 3 schools
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✓ Verified August 2026 3 data sources Profile completeness 100%

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Current company
Role
Product Engineer
Location
Visakhapatnam, Andhra Pradesh, India
Company size

Who is Rahul M? Overview

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Rahul M is listed as Product Engineer at Zeko AI, a with 26 employees, based in Visakhapatnam, Andhra Pradesh, India. AeroLeads shows a matched LinkedIn profile for Rahul M.

Rahul M previously worked as Product Engineer at Myways.Ai and Python Developer at Myways.Ai. Rahul M holds Bachelor Of Technology - Btech, Computer Science from Vignan'S Institue Of Information Technology.

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Email format at Zeko AI

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Zeko AI

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Profile bio

About Rahul M

Rahul M is a Product Engineer at Zeko AI. He possess expertise in python, programming, java, pandas, firebase and 11 more skills.

Listed skills include Python, Programming, Java, Pandas, and 12 others.

Current workplace

Rahul M's current company

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Zeko AI
Zeko Ai
Product Engineer
Visakhapatnam, AP, IN
Website
Employees
26
AeroLeads page
3 roles

Rahul M work experience

A career timeline built from the work history available for this profile.

Product Engineer

Visakhapatnam, Ap, In

Product Engineer

Current

Noida, Uttar Pradesh, India

1. Development of AI-Driven Recruitment Tools: i. LinkedIn Talent Hunt Tool: Engineered an AI tool to streamline hiring on LinkedIn, using LLMs and prompt engineering to enhance recruiter efficiency. Developed the backend architecture and integrating AI to optimize the recruitment process. ii. AI Interview Product: Developed an AI product for autonomously conducting and evaluating interviews. Employed LLMs, prompt engineering, and strategic system design to enable effective real-time interview simulations. Managed all aspects of backend development and features.2. Advanced Machine Learning and AI Applications: i. Large Language Models (LLMs): Extensive experience with OpenAI, Llama3, Claude3, and Mistral, applying these models to various AI-enhanced products. ii. Implemented Machine Learning algorithms, OpenCV for image processing, and TensorFlow for deep learning tasks across various projects. iii. Applied machine learning techniques, including TF-IDF, embeddings, and vector databases, to refine AI interactions and data analysis capabilities.3. Cloud Services and Infrastructure: i. Proficient in deploying scalable applications using AWS and Azure ensuring scalability. ii. Leveraged Docker for creating and managing containerized environments, facilitating consistent deployments across multiple platforms.4. Software Innovation and Extension: i. Advanced skills in web scraping, extracting and processing large datasets from the web to feed into machine learning models and AI-driven applications. ii. Contributed to system design and architecture, ensuring robust, scalable, and maintainable software solutions. iii. Designed and developed a Chrome extension, enhancing browser functionality and user interaction.

Jul 2023 - Present

Python Developer

Noida, Uttar Pradesh, India

1. AI and Machine Learning Implementation: - Developed and refined AI-driven products leveraging Large Language Models (LLMs). - Specialized in prompt engineering to enhance the interaction between AI and users, optimizing AI responses for better accuracy and relevance in real-time scenarios.2. AWS Services Integration: - Designed robust, scalable architectures for both test service and resume ranking applications, ensuring high resilience and efficiency. - Extensively used various AWS services to architect and enhance both the test service and resume ranker product, ensuring high availability, fault tolerance, and low latency across services. - Continuously adapted and upgraded technical solutions, keeping pace with evolving AWS offerings to optimize product functionality and reliability.3. Resume Ranker Product Development: - Pioneered the development of an AI-driven resume ranker tool that aids HR professionals in evaluating and ranking candidate resumes based on predefined skill sets. - Integrated advanced AI features, including Large Language Models (LLMs) and a 'Profile Analyzer'—a tool that allows recruiters to interact with an AI trained on candidate resumes and relevant data to simulate candidate responses. - Leveraged AWS Elasticsearch for efficient data indexing and search capabilities, enhancing the analytical performance of the product4. Development of Test Service: - Designed and implemented the backend of a sophisticated test service, utilizing AWS services such as Lambda, API Gateway, EC2, VPC, and DynamoDB to ensure scalability and efficiency. - Managed data storage solutions with AWS S3, DynamoDB and MongoDB, facilitating robust and scalable storage for high volumes of data. - Created comprehensive flow diagrams and restructured existing codebase to enhance the service architecture and performance.

Jul 2022 - Jun 2023
3 education records

Rahul M education

Bachelor Of Technology - Btech, Computer Science

Vignan'S Institue Of Information Technology

Reply Challenges Contest Winner: Recognized for exceptional problem-solving abilities and innovative solutions in competitive programming.

FAQ

Frequently asked questions about Rahul M

Quick answers generated from the profile data available on this page.

What company does Rahul M work for?

Rahul M works for Zeko AI.

What is Rahul M's role at Zeko AI?

Rahul M is listed as Product Engineer at Zeko AI.

Where is Rahul M based?

Rahul M is based in Visakhapatnam, Andhra Pradesh, India while working with Zeko AI.

What companies has Rahul M worked for?

Rahul M has worked for Zeko Ai and Myways.Ai.

How can I contact Rahul M?

You can use AeroLeads to view verified contact signals for Rahul M at Zeko AI, including work email, phone, and LinkedIn data when available.

What schools did Rahul M attend?

Rahul M holds Bachelor Of Technology - Btech, Computer Science from Vignan'S Institue Of Information Technology.

What skills is Rahul M known for?

Rahul M is listed with skills including Python, Programming, Java, Pandas, Firebase, Amazon Web Services, Mongodb, and Machine Learning.

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