Bilal Surti

AI/ML Engineer | Python Developer | RAG, Generative AI & Backend Systems

Junior · Engineering

AI/ML Engineer with hands-on experience in Retrieval-Augmented Generation, FastAPI-based ML deployment, and Generative AI applications. Skilled in backend development and building intelligent query systems.

Junior Resume Verified Social Verified Python Programming Intern Data Science Intern

Profile updated 1 day ago

Most Recent Role

AI/ML Engineer

CrossTab Technologies LLP

Aug 2025 – Present - Present

Education

Bachelor of Computer Engineering

Maulana Mukhtar Ahmad Nadvi Technical Campus affiliated with Savitribai Phule Pune University(SPPU)

GPA 6.93/10

Skills & Technologies

18 detected

Languages

Python

SSQL

Frameworks & Libraries

Scikit-learn

TensorFlow

KKeras

PyTorch

FastAPI

Flask

Tools & Platforms

Docker

MongoDB

GitHub

Other

LLangchain

RRAG(Retrieval-Augmented Generation)

GGenerative AI

AAPI Development

SSentence Transformers

LLLM Integration

QQdrant

Projects

6 built

Python Programming Q&A Assistant

Built a RAG-based Python Programming Assistant using LangChain, Qdrant Cloud, Groq Llama 3.1, and FastAPI. Processed and indexed 50,000 Stack Overflow Python Q&A pairs for semantic retrieval, using HuggingFace embeddings and similarity thresholding for grounded responses. Developed REST APIs with Swagger documentation and deployed the application on Railway Cloud.

LangChainQdrant Cloud

FastAPIGroqRAGHuggingFace+1

Healthcare RAG Intelligent Query System

Built RAG pipelines for querying healthcare JSON and document datasets using chunking, embeddings, ChromaDB, LangChain, and Azure OpenAI. Implemented context-aware retrieval and healthcare-specific prompt engineering for grounded response generation.

MongoDBChromaDBLangChainAzure OpenAIRAGEmbeddings

GEO Multi-Endpoint Generative Platform

Developed and tested AI backend endpoints for brand analysis, prompts, reports, and content workflows using FastAPI, Docker, Render, and multi-LLM integrations. Optimized API performance and deployment workflows for production-ready applications.

LangchainLangflow

FastAPI

DockerRender

Postman+2

Supplier Information Extraction Chatbot

Built an NLP-based chatbot workflow to extract supplier company details, contacts, websites, and locations from unstructured vendor sources. Implemented entity recognition and structured data extraction to convert unstructured information into usable data.

NLPEntity RecognitionWeb SearchData ExtractionLangchain

Shopify Commerce Dataset Analysis

Analyzed structured Shopify commerce datasets by correcting duplicate revenue records, normalizing SKUs, validating data mappings, and studying customer-product behavior. Implemented data quality and analytics workflows for e-commerce insights.

PythonPandasNumPySQLData Analysis

Weather Forecasting using Machine Learning & Deep Learning

Developed and compared CNN, RNN, Bi-RNN, LSTM, and Random Forest models for weather forecasting using historical weather data. Implemented sliding-window time-series processing with dropout regularization and batch normalization, achieving 85.54% overall prediction accuracy.

Machine LearningDeep Learning

TensorFlowKeras

PyTorchLSTM+3

Work Experience

AI/ML Engineer

Aug 2025 – Present - Present

CrossTab Technologies LLP

Built production RAG pipelines using LangChain and ChromaDB to enable natural language querying.
Developed and deployed backend services using FastAPI with comprehensive documentation.
Integrated LLM APIs and generative AI components into practical AI applications.
Implemented document processing, chunking, embedding generation, and semantic search workflows for RAG systems.
Worked with sentence-transformer models and Hugging Face for text embeddings and retrieval.
Used Docker to containerize backend applications and support deployment-ready workflows.
Worked with Python, Pandas, NumPy, and SQL for data processing, analysis, and backend development.
Debugged and improved AI/backend workflows through error handling, testing, and iterative development.
Deployed backend AI applications and APIs on Render, configuring the application environment for accessible cloud hosting.

Data Science Intern

Oct 2023 – Nov 2023

Bharat Intern

Developed end-to-end ML projects including stock market prediction and Titanic survival classification.
Created data visualizations to communicate insights and model performance metrics.

Python Programming Intern

Oct 2023 – Nov 2023

CodSoft

Developed Python applications including GUI-based To-Do List manager and Calculator.
Strengthened core Python programming skills and GUI development fundamentals.