Vaibhav P.

Vaibhav P.

Ahmedabad, India
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About Me

A highly skilled Al-focused Backend Engineer with over 6 years of experience in building scalable, cloud-native solutions, specializing in Generative Al, Retrieval-Augmented Generation (RAG), and conversational Al systems. V.P. has a proven track record in designing and deploying enterprise-grade Al applications, including chatbots using LLMs, integrating LangChain pipelines, and deploying vector search systems. Adept at combining NLP techniques, secure access control (RBAC, ABAC), and cloud orchestration (Azure, GCP, Kubernetes) to deliver robust and intelligent Al-driven products. Thrives in collaborative environments where I can lead technical efforts, solve complex problems, and deliver impactful results. Experience at Rapid Data Labs, (n)Code Solutions, Galaxy Services and Alberta Science Park.

AI, ML & LLM

LangChain Pytorch BERT GPT

Frontend

JavaScript React Vue

Backend

Python Go Django FastAPI Flask

Database

MySQL PostgreSQL MongoDB DynamoDB

DevOps

Terraform AWS Azure GCP Kubernetes Jenkins Docker

QA & Testing

Selenium

Workflow

Git

Other

Redis RabbitMQ Kafka Tensorflow Hugging Face Transformers LDAP Heroku Ansible

Work history

Rapid Data Labs
Rapid Data Labs
Senior Software Engineer
2022 - 2025 (3 years)
Ahmedabad, India

  • Spearheaded the design and deployment of a generative Al chatbot using LangChain, LLMs, and RAG architecture, enhancing enterprise query resolution by 85%.

  • Integrated vector databases for domain-specific knowledge retrieval and implemented caching and fallback logic for seamless response handling.

  • Built modular Al pipelines using Azure Functions, GKE, and Cloud Run with model orchestration through Jenkins and Flask APIs.

LangChain Azure FunctionsCloud Run JenkinsAI Chatbots Vector Databases Database Caching Pipelines
(n)Code Solutions
(n)Code Solutions
Senior Software Engineer
2020 - 2022 (2 years)
Ahmedabad, India

  • Developed end-to-end automation workflows and statistical dashboards for operational intelligence.

  • Integrated R-based insights and visualizations into web portals, later transitioning to lightweight Python-based Al microservices.

  • Developed and managed RPA modules in Python from scratch, increasing transactions per day and saving an average of 3 minutes per transaction.

PythonRMicroservicesDashboards Django REST FrameworkFlaskREST APIs MongoDBFastAPISolution Design
Galaxy IT Services Pvt Ltd
Galaxy IT Services Pvt Ltd
Back-end Developer - Al Consultant
2018 - 2020 (2 years)
Ahmedabad, India

  • Delivered automation and Al solutions to retail clients, including CAPTCHA-solving bots using OCR and pattern recognition models.

  • Worked on Al-driven web services that minimized manual tasks and improved digital presence for small businesses using the DRF and RESTful paradigm.

  • Worked on bypassing text-based CAPTCHA via decoding the image using Optical Character Recognition.

PythonOCRDRFREST APIs CAPTCHA Optical Character Recognition (OCR) Django REST FrameworkPattern Recognition

Showcase

Trendsurfer Social Listening Tool (ViralMoment)
Trendsurfer Social Listening Tool (ViralMoment)

Predicted the virality of trends/reels/audios on social media platforms like TikTok, Instagram, and YouTube Shorts. Tech stack: Django REST Framework, React, AWS, PostgreSQL, Apache Airflow DAG, FastAPI, SQLAlchemy, RapidAPI, Hugging Face Transformers.

Alberta Science Park (Canada Government)
Alberta Science Park (Canada Government)

Developed a platform to "match-make" technical problem-seekers with solution providers using an NLP model (Spark AI) based on awards, resumes, and bios. Tech stack: Django REST Framework, React, NLP (spaCy, NLTK), Elasticsearch, GCP, PostgreSQL, Firebase.

Enterprise-grade SaaS Chatbot (MNC)
Enterprise-grade SaaS Chatbot (MNC)

Amalgamated location-based ABAC and RBAC to facilitate user queries via fine-grained access on documents while providing a conversational experience. Tech stack: Flask, LDAP, Azure AD, LangChain, GKE, Jenkins, React, MongoDB, GPT-based LLMs, RAG.

Automobile Tuning Tool (MNC)
Automobile Tuning Tool (MNC)

Mimicked and rendered different sound metrics at various speeds for internal teams of BMW, Volvo, Porsche, and Nissan. Tech stack: Python, Node, Electron, React, Net PreQ, DIGI-FACE, AWE Server, A2B hardware integration.

Education

B.Tech Computer Science and Engineering
B.Tech Computer Science and Engineering
Nirma University - India
2016 - 2020 (4 years)