Nikhil Bhide

Frontend Developer

https://talent.gravityer.com/nikhil-bhide

IndiaMember since June 18, 2026

Key Strengths

Extensive personal project experience across various backend technologies (Java, Go, Python, Scala).
Demonstrated interest in distributed systems (Microservices, Kafka, Elasticsearch).
Experience with cloud technologies (AWS, Dockerfile, GKE, Vertex AI) and MLOps concepts.
Strong foundational knowledge in algorithms and concurrency.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is heavily backend and AI/ML focused, with technologies like Java, Go, Python, Scala, Kafka, Elasticsearch, and cloud platforms. This does not align with a 'Frontend Developer' target role, indicating a significant mismatch in cultural fit for the specified position. The diversity of technologies suggests adaptability, but the direction is not frontend-centric.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

agent-training-blueprint

June 12, 2026 – Present

agent-training-blueprint — GitHub repository

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semantic-intent-drift

May 18, 2026 – Present

FastAPI + LangGraph benchmark that measures how a Vertex Gemini model's outputs drift semantically across paraphrased prompts. Deployable to GKE Autopilot.

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agent-evaluation-reference

March 21, 2026 – Present

A production-grade reference implementation for evaluating, deploying, and validating LLM-based multi-agent systems on Google Cloud using GKE and Vertex AI Evaluation.

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enterprise-hr-agents

February 13, 2026 – Present

Enterprise-grade multi-agent HR system built with Google Vertex AI Agent Engine. Features a hub-and-spoke architecture with 6 specialist agents (Policy, Payroll, Benefits, Onboarding) orchestrating complex workflows. Includes production-ready deployment scripts, ADK integration, and automated evaluation pipelines for a complete ops lifecycle.

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algorithms-golang

May 7, 2019 – August 27, 2019

This repository consists of algorithms implemented in GoLang

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MicroServicesTutorial

September 18, 2018 – December 28, 2018

MicroServicesTutorial — GitHub repository

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AmazonAWS

May 7, 2017 – June 9, 2017

AmazonAWS — GitHub repository

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elasticsearch-reindexing-zerodowntime

May 27, 2016 – October 23, 2016

elasticsearch-reindexing-zerodowntime — GitHub repository

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Apache-Kafka

May 11, 2016 – May 11, 2016

Apache-Kafka — GitHub repository

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Concurrency

April 2, 2016 – June 3, 2017

This repository consists of multiple projects which demonstrate different capabilities and compare these capabilities with different other mechanisms.

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Key Strengths

Extensive personal project experience across various backend technologies (Java, Go, Python, Scala).
Demonstrated interest in distributed systems (Microservices, Kafka, Elasticsearch).
Experience with cloud technologies (AWS, Dockerfile, GKE, Vertex AI) and MLOps concepts.
Strong foundational knowledge in algorithms and concurrency.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Nikhil Bhide

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit