Dr. Rishi Verma

Lead AI Research Engineer

AI Research Engineer

Artificial Superintelligence (ASI)

As a Lead AI Research Engineer, Rishi Verma spearheads the design, development, and deployment of advanced artificial intelligence models. With a strong foundation in machine learning, deep learning, and neural network optimization, he bridges the gap between cutting-edge research and real-world applications. His focus is on building scalable, ethical, and high-performance AI systems that power next-gen SaaS products and intelligent platforms.
12/06/1990
Bengaluru, Karnataka

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Our Services

Data Annotation & Model Training Pipelines
Data Annotation & Model Training Pipelines

Set up end-to-end pipelines that prepare data, label it accurately, and feed it into machine learning models for training with minimal human intervention.

Reactive Machine
Reactive Machine

A Reactive Machine is the simplest form of AI. It responds to current inputs in real time without using memory or learning from past experiences. It follows predefined ru...

Data Annotation & Model Training Pipelines
Data Annotation & Model Training Pipelines

An emerging field focused on designing systems—human or AI—that can monitor, understand, and adapt to their own state and surroundings. It blends AI, cognitive science, a...

Robotics Engineering
Robotics Engineering

Robotics Engineering is a multidisciplinary field that integrates mechanical engineering, electrical engineering, and computer science to design, build, and operate intel...

Medical Engineering
Medical Engineering

Medical engineers work on everything from diagnostic machines and artificial organs to surgical robots and wearable health monitors. Their innovations enhance the accurac...

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Products

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Model Auditing & Ethics Suite

A toolkit that scans AI/ML models for bias, ethical risks, and compliance issues. Generates fairness reports, model transparency insights, and improvement recommendations.

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Predictive Analytics Platform

A data-driven engine that forecasts trends, customer behavior, or system failures using machine learning. Ideal for finance, retail, logistics, and healthcare applications.

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Computer Vision Toolkit

An end-to-end visual AI package for object detection, image segmentation, face recognition, and quality control. Includes trained models, preprocessing tools, and deployment-ready APIs.

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Custom NLP Engine

A tailored Natural Language Processing engine designed for tasks like sentiment analysis, chatbot responses, document summarization, and intent recognition — built using transformers and modern deep learning models.

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Testimonials

“Thanks to the AI engineer’s deep learning model, we now predict customer churn with 92% accuracy. It’s completely reshaped our retention strategy.”

Karan Shah

“We had terabytes of messy data. The custom training pipeline this team built saved us weeks of manual work and made our model training fully automated.”

Neha Kapoor

“They helped us audit and improve the fairness of our hiring algorithm. The AI bias assessment and tuning were beyond our expectations.”

Siddharth Iyer

“Our startup needed custom image recognition for quality control in manufacturing. The AI engineer not only built the system but improved accuracy to 98%. Remarkable work!”

Anjali Desai

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The Future of AI Engineering
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Tools & Technologies
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What Does an AI Research Engineer Really Do?

Business Hours

Monday
12:00 AM - 07:00 PM
Tuesday
12:00 AM - 07:30 PM
Wednesday
12:00 AM - 07:30 PM
Thursday
12:00 AM - 07:00 PM
Friday
12:00 AM - 07:30 PM
Saturday
Closed
Sunday
Closed

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