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AI / ML Engineer · Mumbai, India

PRANJAL
AMBWANI

Building intelligent systems — RAG pipelines, LLM applications, and NLP automation — that solve real-world problems at scale.

GenAINLPRAGTransformersLLMsPython
0Projects
0Internships
0Certifications
Python
TF
Docker
FastAPI
PyTorch
Git
AI
pranjal.py
from intelligence import Engineer me = Engineer(   name="Pranjal Ambwani",   focus=["GenAI","RAG","LLMs"],   open_to_work=True )
Status: Open to Opportunities
01 / About

Who I Am

I'm an AI & ML Engineer focused on building intelligent systems that solve real-world problems — from RAG pipelines to LLM-powered applications.

Currently pursuing M.Tech in Artificial Intelligence at NMIMS Mumbai (76.86%). I enjoy learning by building — turning ideas into working AI products rather than staying in theory. My work spans Generative AI, NLP automation, document intelligence, and predictive analytics.

I've interned at Ernst & Young (EY) where I built sales forecasting systems and analytics dashboards, and at BeyonData Solutions where I designed end-to-end RAG pipelines and GenAI document intelligence apps.

🎓M.Tech AI · NMIMS Mumbai
📍Mumbai, India
💼Open to Full-time & Internship
🌐English · Hindi · Gujarati
🏙️Mumbai · Ahmedabad · Pune · Bangalore
✈️Willing to Relocate
pranjal@ai:~$

$ whoami

Pranjal Ambwani — AI/ML Engineer

$ cat interests.txt

GenAI · NLP · RAG · LLMs · MLOps

$ cat education.txt

M.Tech AI · NMIMS Mumbai · 76.86% B.E CE · LDRP Gandhinagar · 74.40%

$ echo $STATUS

Open to Work ✓ Relocate ✓

$

02 / Skills

Stack & Expertise

🐍PythonCore Language
💬LLMsGenerative AI
🔍RAG PipelinesRetrieval AI
🤗HuggingFaceTransformers
⛓️LangChainAI Orchestration
🌲PineconeVector DB
🤖Machine LearningScikit-learn
🔥PyTorchDeep Learning
📊StreamlitApp Deployment
FastAPIBackend
🐳DockerContainers
☁️Oracle OCICloud · 5× Certified
03 / Experience

Work History

AI / ML Intern — Digital Transformation
Ernst & Young (EY) · HR Analytics & Salary Intelligence
May – Aug 2025 · Remote / Hyderabad
  • Shipped an AI-Powered Salary Prediction & Analytics platform on Oracle Cloud — trained XGBoost and Linear Regression models on 6 features (job title, experience, location, education, industry, certifications) to predict annual salaries with RMSE and R² evaluation
  • Built a full OCI-native architecture: model training in OCI Data Science (JupyterLab), FastAPI/Flask backend on OCI Compute, data in Oracle Autonomous DB, deployed via OCI API Gateway
  • Designed real-time salary analytics dashboards — trend analysis by region & industry, salary percentiles, peer benchmarking, and time-based progression graphs; built on Streamlit and Oracle Visual Builder
  • Ran end-to-end sales forecasting pipelines — preprocessing raw business data, feature engineering, Linear Regression modelling, and evaluation using MAE, RMSE, R²
  • Presented insights to stakeholders and cut manual reporting time by surfacing role-vs-location salary gaps through feature importance visualisation
OCI Data ScienceXGBoostOracle Autonomous DBFastAPIStreamlitPythonScikit-learnPredictive Analytics
AI / ML Trainee
BeyonData Solutions Pvt. Ltd.
Dec 2024 – Apr 2025 · Ahmedabad
  • Built a production Tender Bot — scraped live government tenders, chunked and embedded documents into Pinecone, then wired up a HuggingFace LLM so clients could ask plain-English questions and get cited answers instantly
  • Designed end-to-end RAG pipelines for a Legal Help Desk AI — LangChain orchestration, PDF extraction, embedding generation, and Pinecone retrieval for document Q&A at enterprise scale
  • Built a Gujarati news article extractor from scratch — BeautifulSoup scraping, OCR for multilingual text, feeding clean structured data into downstream NLP workflows
  • Shipped interactive Seaborn analytics dashboards for business stakeholders; backed by MongoDB and PostgreSQL for persistent, fast-access storage
  • Owned the full deployment cycle — containerisation, environment configs, and keeping Streamlit apps live for client demos without dropping a beat
RAGHuggingFacePineconeLangChainStreamlitMongoDBPostgreSQLBeautifulSoup
04 / Projects

What I've Built

01
SmartWorkAI — LLM Task Management
Intelligent task management platform using LLMs and RAG architecture. Hybrid HuggingFace Transformers + SVM pipeline to decompose complex tasks into actionable sub-tasks with 90%+ accuracy. Real-time Streamlit dashboard with performance analytics.
LLMsRAGPineconeHuggingFaceSVMStreamlit
02
Cyber Threat Intelligence Automation
Automated CTI pipeline using SecureBERT-NER to extract IoCs, malware signatures, threat actors and attack patterns from PDF reports. Knowledge Graph via igraph for entity correlation. Improved extraction accuracy by 25%.
SecureBERTNERKnowledge GraphigraphPython
03
Sales Prediction Web App
Interactive sales forecasting app using Linear Regression pipeline. Users upload CSV datasets, get automatic preprocessing, real-time Actual vs Predicted visualizations, R² performance metrics, and downloadable prediction results. Built during EY internship.
PythonScikit-learnStreamlitLinear RegressionPandas
04
Gujarat Newspaper AI Scraper
OCR-based automated pipeline scraping 500+ Gujarati news articles. Advanced NLP preprocessing with NLTK for keyword frequency analysis and topic trend detection. Outputs structured JSON/CSV datasets ready for ML workflows.
BeautifulSoupOCRNLTKPythonStreamlit
05 / Certifications

11 Credentials

☁️
Oracle
OCI Generative AI Professional
📊
Oracle
OCI Data Science Professional
🔍
Oracle
OCI AI Vector Search Professional
🤖
Oracle
OCI AI Foundations Associate
🌐
Oracle
OCI Foundations Associate
💙
Microsoft
Azure AI Fundamentals
💡
IBM
Artificial Intelligence Fundamentals
🐍
Cisco Networking Academy
Python Essentials 1
📈
NPTEL
Python for Data Science
🎓
Accenture
Digital Course on Artificial Intelligence
⚙️
Acmegrade
ML Training & Internship Program
06 / GitHub

Open Source

GitHub Avatar

PranjalAmbwani1305

AI & ML Engineer · GenAI · NLP · RAG

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07 / Contact

Get In Touch

Open to AI/ML roles, GenAI projects, and meaningful collaborations.

Whether you have a full-time role, an internship, or just want to talk AI — I'd love to connect. Actively looking in Ahmedabad, Mumbai, Pune, Bangalore, or remote.

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