Vageesh Dwivedi

Rising Codementor

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ABOUT ME

People builder | Engineering Leader | High Scale Systems & Automation | 20 years exp

Results-driven engineering leader with 20+ years of experience in AI/ML, Conversational AI, Cloud Infrastructure, and Enterprise Software Development. Proven track record of building and scaling teams, driving AI innovation, and optimizing cloud costs. Strong expertise in LLM-powered solutions, RAG-based Q&A systems, and Virtual Assistant platforms. Adept at leading cross-functional teams to deliver high-impact AI solutions at scale.

AI/ML & Generative AI: RAG-based Q&A, LangChain, AutoGen, LlamaIndex, LLM Inference (vLLM, LiteLLM)
Conversational AI & NLP: Virtual Assistant Development, Intent Classification, Embedding Models
Software Development: JavaScript, Node.js, React, Redux, Kubernetes, CI/CD Pipelines
Cloud & MLOps: Kubernetes, MLFlow, Prompt Management, Cloud Cost Optimization (GCP, Azure)
Enterprise Engineering: Business Messaging, UI Frameworks, Accessibility, Security & Compliance

Pacific Time (US & Canada) (-07:00)

Joined March 2025

EXPERTISE

10 years experience

10 years experience

5 years experience

3 years experience

10 years experience

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SOCIAL PRESENCE

GitHub

robinhood_tax_calc

Used to calculate taxes from Robinhood reports

Python

corpdemo

HTML

EMPLOYMENTS

Director, Software Development

[24]7.ai

2022-04-01-2025-01-01

- Led a 24-engineer global team (in three geographies) developing enterprise-scale AI-powered Conversational AI solutions, managing end-t...

- Led a 24-engineer global team (in three geographies) developing enterprise-scale AI-powered Conversational AI solutions, managing end-to-end product lifecycle including feature planning, technical design and security compliance for a SaaS suite serving millions of users across digital and voice channels. - Pioneered AI/ML initiatives implementing RAG-based Q&A systems and Microsoft Autogen-powered agentic flows, optimizing contact center operations through innovative solutions like Flowize.ai for agent training and seamless bot-human orchestration reducing onboarding time by 30% and AHT by 10% - Reduced cloud infrastructure costs by 40% through strategic containerization initiative, migrating legacy applications to Kubernetes while implementing robust CI/CD pipelines and security frameworks across environments.-

Node.js

MySQL

Linux

Node.js

MySQL

Linux

Machine learning

Cassandra

Single-Page Applications

React

Google Cloud Platform

JavaScript

Kubernetes

Docker swarm

Apigee

Conversational AI

Senior Manager, Software Development

[24]7.ai

2018-04-01-2022-03-01

- Revolutionized virtual assistant development by implementing a low-code, designer-focused self-service tool, reducing development effor...

- Revolutionized virtual assistant development by implementing a low-code, designer-focused self-service tool, reducing development effort by 75% and accelerating deployment time by 60-80% across various complexity levels. - Drove digital transformation for major enterprises, achieving 60% cost reduction in customer support through migration from legacy IVR to digital chat platforms while maintaining 70% customer satisfaction SLA, partnering with industry leaders like Apple, Google, and Twilio for enterprise messaging solutions.

Node.js

MySQL

Linux

Node.js

MySQL

Linux

Machine learning

Cassandra

Single-Page Applications

React

Google Cloud Platform

JavaScript

Kubernetes

Docker swarm

Apigee

Conversational AI

Manager, Software Development

[24]7.ai

2015-11-01-2018-03-01

- Led end-to-end development of 247.ai's flagship UI framework, architecting a React-Redux based web SDK enabling seamless third-party in...

- Led end-to-end development of 247.ai's flagship UI framework, architecting a React-Redux based web SDK enabling seamless third-party integration for enterprise clients across web. - Developed a React Native-based SDK for iOS/Android chat integrations and a Web SDK using React.js to reduce launch time for customer by 70%.

Node.js

MySQL

Linux

Node.js

MySQL

Linux

Machine learning

Cassandra

Single-Page Applications

React

Google Cloud Platform

JavaScript

Kubernetes

Docker swarm

Apigee

Conversational AI

PROJECTS

Autogen Agentic flows — [24]7 Concierge

2024

Designed and implemented Microsoft's Autogen-based agentic flows for a user concierge application, enabling seamless orchestration betwee...

Designed and implemented Microsoft's Autogen-based agentic flows for a user concierge application, enabling seamless orchestration between traditional bots and human agents to efficiently complete end-user tasks. By leveraging multi-agent collaboration, the system dynamically determined when to escalate complex queries to human agents while automating routine interactions. This solution is expected to take the cognitive and thinking load from the user by acting on behalf of the user with custom support interfaces (living up to the true meaning of “User Agent”).

Python

Node.js

OpenAI APIs

Python

Node.js

OpenAI APIs

Autogen

Flowize.ai Agent Assistant and trainer — [24]7 Copilot

2024

Implemented Flowize.ai chatflows to automate training for newly hired contact center agents, reducing onboarding time by 30%. Also provid...

Implemented Flowize.ai chatflows to automate training for newly hired contact center agents, reducing onboarding time by 30%. Also provided human agents with a real-time copilot on the operations floor, suggesting next-best responses. This improved human agent efficiency, with 60-70% of responses being used as-is or modified, leading to a 10% reduction in AHT (average handling time) and a boost in CSAT (customer satisfaction) scores.

Python

Langchain

Python

Langchain