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FILTER OUT TOP TALENT
WITH HUMAN RESEARCHED
PRE-MADE ASSESSMENTS

Our global skills framework lets you identify skill gaps, evaluate talent, and develop unstoppable teams that are ready for today's and tomorrow's challenges.

SkillSauce Platform Dashboard - Candidate Management Interface

KEY BENEFITS

We simplify hiring with human reviewed assessments for accurate, efficient and unbiased candidate evaluation

Reduced Hiring Mistakes

Higher Chance Of Hiring Top Performer

Reduces Interview Time

Power Up Your Skills with Industry-Leading Questions

Browse through our comprehensive collection of pre-made assessments

Product Management

Product

Master the fundamentals of product management and leadership

Sample Questions:

Q1. How Do You Prioritize Features in Product Development to Ensure Market Fit and Maximize Impact?

Q2. Explain the Role of a Product Leader in Building a Cross-Functional Team and Managing Stakeholder Expectations.

Q3. How Do You Measure Product Success Post-Launch, and What Metrics Are Most Valuable for Continuous Improvement?

Q4. How Would You Approach the Challenge of Product-Market Fit (PMF) When Entering a New Market or Industry?

Q5. How do you balance innovation vs technical debt?

LeadershipStrategyProduct

AI/ML

LlamaIndex

Advanced knowledge base optimization and document search

Sample Questions:

Q1. How Do You Build and Optimize a Knowledge Base with LlamaIndex for Large-Scale Document Search?

Q2. Explain the Role of Index Nodes in LlamaIndex and How They Improve Search Efficiency.

Q3. What Are Some Best Practices for Handling Embeddings in LlamaIndex to Improve Accuracy and Relevance?

Q4. Explain How to Combine External Data Sources with LlamaIndex to Enhance the Capabilities of LLMs?

Q5. What Are the Challenges and Trade-offs When Scaling LlamaIndex for High-Throughput Use Cases?

AISearchKnowledge Base

Programming

Python

Comprehensive Python programming concepts and best practices

Sample Questions:

Q1. How Does Python's Global Interpreter Lock (GIL) Affect Concurrency and Parallelism in Multi-threaded Applications?

Q2. How Does Python Handle Memory Management and Garbage Collection?

Q3. Explain the Differences Between Deep Copy and Shallow Copy in Python.

Q4. How Does Python's Decorator Pattern Work, and How Would You Implement a Memoization Decorator?

Q5. Explain the use of async and await keyword in Python?

PythonProgrammingBackend

DevOps

Docker

Containerization fundamentals and deployment strategies

Sample Questions:

Q1. Discuss the differences between Docker volumes and bind mounts.

Q2. How do will you optimize your container image?

Q3. Explain the different types of Docker networks.

Q4. How Does Docker Swarm Manage Cluster Orchestration?

Q5. How Does Docker Handle Container Isolation and Security?

DockerDevOpsContainers

AI/ML

PyTorch

Deep learning with PyTorch framework

Sample Questions:

Q1. How do you will implement custom loss function in pytorch

Q2. Demonstrate how to implement gradient clipping within a training loop.

Q3. Write the PyTorch code to finetune the model?

Q4. How do you load a pretrained ResNet18 model and freeze the convolutional layers?

Q5. How does PyTorch's Autograd System Work?

PyTorchDeep LearningAI

Cloud Computing

AWS

Designing scalable and fault-tolerant cloud solutions

Sample Questions:

Q1. Explain the trade-offs between using Amazon S3 and Amazon EBS for storing data?

Q2. How we can allow external users to access our resources securely in AWS?

Q3. Discuss the s3 bucket storage tiers and their usecases?

Q4. Explain how AWS IAM roles and policies work together to manage access control?

Q5. Explain How can you build a highly scalable, fault tolerant architecture on AWS?

AWSCloudArchitecture

Backend Development

FastAPI

Building high-performance APIs with FastAPI

Sample Questions:

Q1. Explain the role of dependency injection in FastAPI?

Q2. Compare and contrast FastAPI's different response models (e.g., using Pydantic models vs. plain dictionaries).

Q3. How FastAPI handles asynchronous operations and its impact on performance and scalability.

Q4. Explain the use of middleware in FastAPI and how it can be used for tasks such as request logging, authentication, or exception handling

Q5. Discuss the strategies for deploying a FastAPI application to production?

FastAPIAPIPython

AI/ML

LangChain

Building LLM applications with LangChain

Sample Questions:

Q1. Explain the difference between LangChain's LLMChain and SequentialChain?

Q2. Describe how LangChain's memory mechanisms (e.g., Conversation Buffer Memory, Conversation Summary Memory) impact conversational agents. What are the advantages and disadvantages of different memory types?

Q3. Design a LangChain system that dynamically adjusts its prompting strategy based on past interaction failures and success rates

Q4. Explain the role of LangChain's Callbacks?

Q5. Implement a LangChain agent that can detect and correct hallucinations in real-time while maintaining conversation coherence.

LangChainLLMAI

Database

Redis

Optimizing Redis for high-throughput applications

Sample Questions:

Q1. Explain the trade-offs between Redis's different eviction policies?

Q2. Which policy is best suited for a frequently updated cache with a limited memory budget?

Q3. Describe how Redis transactions ensure atomicity. What are the limitations of Redis transactions and how can these limitations be mitigated

Q4. Implement a Redis-based leaderboard system that handles concurrent updates and real-time ranking

Q5. Design a distributed rate limiter using Redis that handles network partitions

RedisDatabasePerformance

Software Engineering

System Design

Large-scale system architecture and design patterns

Sample Questions:

Q1. Design a URL shortening service like bit.ly

Q2. Design a distributed cache system

Q3. Design a real-time messaging system

Q4. Design a recommendation system

Q5. Design a scalable web crawler

System DesignArchitectureScalability

Check Library

Simplify Candidate Evaluation with
Our Next-Gen Assessment Tools

AI Proctoring

Ensure assessment integrity with ethically guided proctoring. SkillSauce utilizes advanced monitoring techniques, including multiple-face detection, multiple-voice detection, eye-tracking, and multiple-device detection, to ensure fairness.

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TESSA AI - Talk to Your Candidate Database

Easily Scheduled Interview

Assessment Report

How it works?

Create & Customize Tests

Select from our extensive test library or customize your own assessments to align with your hiring needs. Our intuitive platform allows you to set parameters, difficulty levels, and evaluation criteria for an optimal hiring experience.

Invite Candidates with Ease

You can invite candidates via email, candidate profiles or upload resumes in bulk to directly integrate into your hiring workflow.

Monitor & Analyze Results

Monitor real-time candidate performance, compare scores, and identify top talent effortlessly with AI-driven insights. Our platform provides detailed reports and a comprehensive trust score using face detection, voice detection, and eye detection, ensuring a secure and reliable assessment process.

Trustworthy Assessments for
Smarter Hiring Decisions

Compliance

We adhere to all industry regulations and best practices. Our assessments are always fair, accurate, and delivered on time, ensuring compliance with global hiring standards.

Quality

Our promise is high-quality evaluations. We use scientifically designed tests, AI-powered analytics, and expert validation to provide precise and reliable candidate assessments every time.

Data Safety

Our platform uses AES-256 for data at rest and TLS for data in transit, along with MFA, role-based controls, and real-time threat monitoring to secure your data.

Pricing

Empower your hiring process with AI-driven assessments, automated evaluations, and advanced proctoring. Choose a plan tailored to your needs.

Free Trial

FREE

10 assessments included

Human Researched Premade Library

Advanced Proctoring

Basic ATS Mapping

10 Free Assessments

10 Free Interview Schedules

Full Platform Access till 10 Assessments

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per assessment

Human Researched Premade Assessment Library

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Basic ATS Mapping

In-depth Assessment Reports

Email Support

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Plus

$50

for 40 assessments

Everything in Basic

Advanced ATS Mapping

In-depth Assessment Reports

Interview Scheduling

Team Collaboration

Priority Support

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Pro

$100

for 100 assessments

Everything in Plus

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Unlimited Team Users

24/7 Priority Support

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Enterprises Package

Looking for a tailored solution? Our enterprise packages are designed to meet your unique hiring needs.

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Explore Our Comprehensive Assessment Library

We provide a comprehensive assessment library designed to evaluate diverse skills, ensuring smarter hiring decisions and streamlined talent selection for every need.