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Vetted Talent

Nishant Rao Guvvada

Vetted Talent

With over 6 years of experience in the field, I have honed my skills in cloud server management (specifically in Google Cloud and AWS), Vertex AI, and Tableau. I am also well-versed in Vertex AI, leveraging its capabilities to build advanced machine learning models. Furthermore, my proficiency in Tableau has allowed me to present data in a visually appealing and intuitive manner, enabling stakeholders to derive actionable insights. With my diverse skill set and extensive experience, I am confident in my ability to deliver exceptional results in any project or role

  • Role

    AI Engineer (Tech Lead)

  • Years of Experience

    7 years

Skillsets

  • react
  • SQS
  • PostgreSQL
  • Node.js
  • Next.js
  • MongoDB
  • Bedrock
  • Vertex AI
  • TensorFlow - 4.0 Years
  • Tailwind
  • Scikit-learn
  • Amazon SageMaker
  • Pydanticai
  • PGVector
  • LangChain - 5.0 Years
  • Kubernetes
  • Kubernetes
  • Keras
  • JavaScript
  • FastAPI
  • Express
  • Azure AI Studio

Vetted For

10Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Machine Learning Engineer ( Remote )AI Screening
  • 70%
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  • Skills assessed :Algorithms, Artificial Intelligence, Cnn, Generative AI, LLM, Mathematics, data-science, machine_learning, Python, Statistics
  • Score: 63/90

Professional Summary

7Years
  • May, 2025 - Present 3 months

    AI Engineer (Tech Lead)

    Tech Mahindra
  • Mar, 2022 - Apr, 20253 yr 1 month

    AI Engineer/Automation Engineer

    Rackspace
  • Nov, 2020 - Mar, 20221 yr 4 months

    Analytics Specialist

    Better Mortgage Corporation
  • Jun, 2016 - Jun, 20171 yr

    Research Analyst

    S&P Global Market Intelligence
  • Feb, 2019 - Nov, 20201 yr 9 months

    Data Analyst

    EY Global Delivery Services

Applications & Tools Known

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    MySQL

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    Python

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    Microsoft Power BI

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    SQL

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    Google Analytics

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    Microsoft Excel

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    Tableau

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    GCP

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    Google BigQuery

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    Power BI

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    Tableau

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    MS Excel

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    MS Access

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    SQL

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    Power Automate

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    Snowflake

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    Airflow

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    AWS

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    Redis

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    React-Redux

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    FastAPI

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    Next.js

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    Express.js

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    Stripe

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    Docker

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    Kubernetes

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    Power BI

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    JWT

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    MongoDB

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    PostgreSQL

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    Azure Cosmos DB

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    Azure OpenAI

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    Azure App Service

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    Vertex AI

Work History

7Years

AI Engineer (Tech Lead)

Tech Mahindra
May, 2025 - Present 3 months

AI Engineer/Automation Engineer

Rackspace
Mar, 2022 - Apr, 20253 yr 1 month

Analytics Specialist

Better Mortgage Corporation
Nov, 2020 - Mar, 20221 yr 4 months

Data Analyst

EY Global Delivery Services
Feb, 2019 - Nov, 20201 yr 9 months

Research Analyst

S&P Global Market Intelligence
Jun, 2016 - Jun, 20171 yr

Achievements

  • Recognized by Technical Innovation Awards for developing tool in Python to delink BI tools from Data Stores for the 2nd Quarter FY 23.
  • Earned AI Ready and AI Business badges for trainings on FAIR (Foundry for AI by Rackspace).
  • Part of the college soccer team in Anna University intercollege football championship. HOBBIES Learning new languages (linguistic as well as technical),
  • Developed multiple AI-based applications
  • Graduated from Google Immersive Advanced Solutions Lab
  • Recognized by Technical Innovation Awards for developing a tool in Python to delink BI tools from Data Stores
  • FAIR (Foundry for AI by Rackspace) trainings

Testimonial

EY

Phil Phillips

I have worked with Nishant on many high priority security projects and have always found him to be a valuable member of the team. Nishant is highly responsive, he has strong technical skills and always takes initiative to follow-up on key tasks without oversite. His communications, both written and verbal, are clear and concise. He is inclusive of others and does an excellent job supporting all members of the team. Nishant has the courage and leadership skills to make the right decisions for the right reasons. If I had a very important assignment and wanted to ensure success, Nishant would be one of my first picks for the team.

Major Projects

8Projects

Enterprise BI Chatbot

    A chatbot for code rewriting and dataset summarization using natural language queries. Designed a RAG-integrated AI chat system leveraging PaLM2 and LangChain's RetrievalQA, with Vertex AI Vector Search enabling semantic indexing across documents. Enhanced response relevance by 20% through context-aware generation.

Medical Agent Swarm

    A multi-agent assistant for personalized healthcare automation. Designed an LLM-powered swarm of agents using gemini-1.5-flash and LangGraph (Python) for automating medical workflows. Improved patient support efficiency by 30% through agent integration, enabling context-aware multi-turn interactions.

Sales AI Assistant

    AI-enabled sales chat application augmented with data stored in vCore for Azure Cosmos DB for MongoDB. LLM integrated sales chatbot (gpt-4-32k) using Azure OpenAI, leveraging text-embedding-ada-002 embeddings stored in Azure Cosmos DB vector index for contextual product recommendations and query resolution. Deployed React frontend on Azure App Service and containerized backend (Python) on Azure Container Apps.

Agentic Travel Bot

    A chat assistant utilizing tool calling for accurate and precise travel information. Implemented using gemini-1.0-pro-001 on Vertex AI Agent Builder, integrating conversational agent with tool calling to fetch weather, holiday, place, and hotel information.

Note Taking AI Agent

    A note-taking application with agent integration operated by function-calling AI agent. Built with Next.js SSR and FastAPI backend leveraging PydanticAI for response validation. Incorporated Redis for efficient caching, Amazon SQS for asynchronous message queuing, MongoDB for storing AI-generated notes, and JWT for token-based authentication.

Customer Churn Prediction

    Advanced forecasting solution built on logistic regression algorithm using Amazon SageMaker Pipelines. Ensured input consistency with Feature Store and enhanced training via SageMaker Training Jobs. Served predictions through a low-latency API with Model Monitor enabling real-time drift detection.

Mortgage Approval Prediction

    An in-house prediction system for mortgage loan approvals. Engineered logistic regression model with Scikit-Learn to optimize workflows for real-time assessments, improving decision reliability by 18%.

Sentiment Analysis for NPS Comments

    Thematic analysis of NPS comments summarized for actionable insights using BigQueryML SQL-based analysis. Utilized Power BI to visualize and present insights.

Education

  • M.B.A Finance & IT

    Delhi School of Management (DCE) (2016)

  • B.E Electronics & Communication

    Anna University (2014)

Certifications

  • AWS

    AWS Solutions Architect Associate (Dec, 2023)

  • Tableau

    Salesforce (Jan, 2024)

  • Google

    Google's Advanced Solutions Lab for Machine Learning (Nov, 2023)

  • Ai business badges

  • Ai ready

  • Google immersive advanced solutions lab

  • Aws solutions architect associate

  • Certified aws solutions architect associate (saa-c03)

  • Aws ai practitioner (aif-c01)

  • Google immersive advanced solutions lab for machine learning cohort

  • Certified tableau data analyst

  • Azure ai fundamentals (az-900)

Interests

  • Photography
  • Painting