AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Demonstrated strong interest and practical experience in AI/ML development, particularly with LangChain and Next.js 15 for various agent-based applications.
Proficiency in Python and TypeScript, which are highly relevant for modern software engineering roles.
Experience with front-end technologies (Next.js, CSS) and back-end frameworks (LangChain integrations) indicates full-stack potential.
Diverse personal projects showcasing initiative and ability to build complex systems from concept to implementation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's portfolio of personal projects, particularly the 'hive' project, demonstrates a high degree of creativity and a passion for complex, innovative problem-solving. The focus on AI agents aligns well with a culture that values innovation and cutting-edge technology. The breadth of projects suggests a curious and self-driven individual who is likely to be a good fit for a dynamic and challenging environment. However, without information on collaborative projects or team roles, assessing team collaboration fit is limited.

Soft Skills & Operational Fit

The candidate's extensive personal projects, especially those involving AI agents, suggest strong problem-solving skills, initiative, and a proactive approach to learning and development. The variety of projects indicates adaptability and a willingness to explore different domains. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Vaibhav Srivastava

Software Engineer

https://www.opentalent.in/vaibhav-srivastava

Software Engineer

IndiaMember since June 14, 2026

https://www.opentalent.in/vaibhav-srivastava

Top Skills

HTMLDartC++CMakeRubyPythontypescriptCSSDockerfileJavaScript

Skills

HTMLDartC++CMakeRubyPythontypescriptCSSDockerfileJavaScript

Projects

hive

March 17, 2026 – Present

A living digital civilization - AI beings that are born, age, die, form relationships, create culture, and leave legacies. Everything emerges from LLM cognition.

View Project

phoenix-dash

December 27, 2025 – Present

Phoenix Dash - An exciting endless runner platformer game built with Flutter and Flame game engine

View Project

knowledge-gap-agent

sentiment-analysis-agent

December 25, 2025 – Present

💬 Advanced sentiment and topic extraction agent with multi-source analysis, trend detection, and real-time insights. Built with LangChain, MCP integrations, and Next.js 15.

View Project

knowledge-gap-analyzer

December 25, 2025 – Present

📚 AI agent that analyzes support data to identify knowledge gaps, auto-generates FAQs, and optimizes knowledge bases. Built with LangChain, MCP, and Next.js 15.

View Project

meeting-brief-agent

December 25, 2025 – Present

📋 AI agent that generates comprehensive pre-meeting briefs from emails, calendars, CRM data, and past interactions. Built with LangChain, MCP integrations, and Next.js 15.

View Project

document-intelligence-agent

December 25, 2025 – Present

🔬 Multi-modal document analysis agent with OCR, image understanding, data extraction, and intelligent summarization. Built with LangChain, MCP, and Next.js 15.

View Project

lead-scoring-agent

December 25, 2025 – Present

📊 Intelligent lead scoring and enrichment agent with external data integration, predictive analytics, and CRM sync. Built with LangChain, MCP integrations, and Next.js 15.

View Project

contract-analysis-agent

December 25, 2025 – Present

📄 AI-powered contract analysis agent for clause extraction, risk identification, amendment drafting, and compliance checking. Built with LangChain, MCP, and Next.js 15.

View Project

support-intelligence-agent

December 25, 2025 – Present

🔍 AI agent that analyzes support tickets to identify patterns, recurring issues, and knowledge gaps. Features trend detection, auto-categorization, and actionable insights. Built with LangChain & MCP.

View Project

Key Strengths

Demonstrated strong interest and practical experience in AI/ML development, particularly with LangChain and Next.js 15 for various agent-based applications.
Proficiency in Python and TypeScript, which are highly relevant for modern software engineering roles.
Experience with front-end technologies (Next.js, CSS) and back-end frameworks (LangChain integrations) indicates full-stack potential.
Diverse personal projects showcasing initiative and ability to build complex systems from concept to implementation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit