EXPLORE

(4 reviews)

Rohit B.

@Apponn

5.0

1.3

100%

Website/App⭐Shopify⭐Wordpress⭐AI/ML⭐Chatbot⭐Python

$10 USD / Hour

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India (7:17 AM)

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Joined on September 5, 2021

$10 USD / Hour

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We deliver high-quality, scalable solutions across mobile, web, blockchain, AI, Web3, DevOps, and custom software development. With expertise in React Native, Flutter, React.js, and Node.js, we build secure, efficient, and future-ready applications tailored to your business needs. Technical Expertise Design & Branding → UI/UX Design & Branding: Over a decade of creating user-centric designs that drive engagement and conversions Web & Full-Stack Development → CMS & eCommerce: WordPress, Shopify, Magento → Backend: PHP, Node.js, Python (Django, Flask), Laravel, CodeIgniter → Frontend: React.js, Vue.js, Angular → Stacks: MERN, Full Stack Databases → MySQL, PostgreSQL, MS SQL, MongoDB, Firebase Mobile App Development → Native & Cross-platform: Android, iOS, Flutter, Objective-C, Java → We deliver scalable, high-performance mobile solutions Ai/ML Expertise: → TensorFlow, PyTorch, scikit-learn → Data Manipulation and Analysis: pandas, NumPy → NLP: NLTK (Natural Language Toolkit), spaCy → Cloud Services: AWS, Azure, Google Cloud → Big Data and Distributed Computing: Apache Hadoop, Apache Spark → OpenAI Gym, Stable Baselines, OpenCV Blockchain & Web3 → Smart Contracts & DApps: Ethereum, Polygon, Base Network → P2E Games & Metaverse Development → Wallet integration (MetaMask), NFT platforms TON Blockchain Development → Smart contract development on TON (FunC, Solidity) → NFT Platforms, Token Launch, and DeFi Solutions on TON → Secure TON Wallet integrations for payments and transactions → Games and Metaverse experiences powered by TON → Cross-platform solutions leveraging TON’s high scalability and low fees DevOps & Cloud Solutions → Cloud Platforms: AWS, Azure, Google Cloud → CI/CD & Automation: Over 5+ years managing scalable deployments Why Work With Me? -One-stop solution for all your tech needs from an idea to launch -Strong focus on quality, scalability, and performance -Transparent communication and timely delivery -Flexible engagement: Hourly, Fixed-price, Long-term partnership Let’s discuss how I can help you with your project!

Verifications

On time

100%

On budget

100%

Accept rate

100%

See all Python Developers in India

Portfolio

AI and Programming: OpenAI API, Langchain, Python

Development Tools: Microsoft Visual Studio Code

This application consists of two parts: Semantic Search and Database Querying. Semantic Search allows users to intuitively navigate through extensive databases of articles and research, using natural language queries. The Database Querying module focuses on retrieving structured data from SQL databases, simplifying the data access process for users without database schema knowledge.

Semantic Search and Database Querying

Data Analysis and Visualization: Jupyter Notebook, Google Colab, PowerBI

Libraries: Pandas, Numpy, Matplotlib, Seaborn

This project focuses on developing a predictive analytics system for cricket, intended to track, monitor, select, and evaluate player performance. The system is designed to identify top-tier cricketers, evaluating them based on criteria like power hitting, strike rate, overall value, skill in critical situations, and training needs. Initially crafted for cricket, the intention is to extend this framework to other sports such as football, kabaddi, and hockey in future phases.

Predictive Analytics for Cricket

Data Analysis and ML Development: Jupyter Notebook, Google Colab, Visual Studio Code

Libraries: Pandas, Numpy, Matplotlib, Seaborn, Scikit-Learn, PyCaret

API Development and Deployment: FastAPI, Uvicorn, Codecs

This project develops a predictive tool for assessing loan-to-value (LTV) ratios, a critical financial metric used by banks to evaluate lending risks associated with mortgages. With high LTV ratios typically indicating higher-risk loans, the project aimed to create a sophisticated model that can accurately compute LTV ratios based on behavioral machine learning techniques, thereby aiding financial institutions in managing credit risk effectively

LTV Prediction for Financial Institutions

Modeling: RandomForestRegressor, Lasso Regression

Data Processing and Management: Pandas, NumPy

Programming Language: Python

This project utilizes advanced sentiment analysis to predict fluctuations in the dollar price based on financial news sentiments. By analyzing the tone and sentiment of news articles, the system provides insights into market sentiment, which is crucial for anticipating economic cycles and guiding investment decisions. The project leverages natural language processing and machine learning techniques to extract sentiment signals from extensive news datasets. These sentiments are then correlated with key economic indicators such as inflation and GDP growth, enabling investors to foresee market trends and strategically adjust their portfolios. This proactive approach not only aids in risk management but also enhances the accuracy of investment predictions, allowing investors to make well-informed decisions optimized for current market conditions.

Financial News Sentiment Analysis for Dollar Price Predictio

Modeling: TensorFlow, Keras, SimpleRNN

Data Processing and Management: Pandas, NumPy

Programming Language: Python

Web Deployment: Streamlit

This project focuses on analyzing sentiment in a dataset of 25,000 unique IMDB movie reviews, classifying them into Negative, Neutral, or Positive categories. The analysis involves deep understanding of the context, semantics, and sentiment expressed in the reviews. Advanced machine learning models including Simple RNN, GRU, and Bi-directional LSTM were developed and implemented to achieve this classification. By employing natural language processing techniques such as tokenization, lemmatization, stemming, punctuation removal, and stopwords elimination, the models reached an impressive overall accuracy of 92%. These results provide users with quick and reliable insights into the sentiment trends of movie reviews. The project not only showcased the effectiveness of different RNN architectures in handling text data but also highl

Sentiment Analysis of Movie Review Dataset

Data Science and Machine Learning Platforms: Jupyter Notebook, Google Colab

Libraries: Pandas, Numpy, Matplotlib, Seaborn, PyCaret, Scikit-Learn

This project focuses on developing a software tool for detecting network intrusions, aimed at protecting computer networks from unauthorized access. The primary goal is to construct a predictive model that can accurately classify network connections as either normal or malicious based on their behavior and characteristics.

Network Anomaly Detection

Semantic Search and Database Querying

Predictive Analytics for Cricket

LTV Prediction for Financial Institutions

Financial News Sentiment Analysis for Dollar Price Predictio

Sentiment Analysis of Movie Review Dataset

Network Anomaly Detection

5.0 · 4 Reviews

4 Reviews

Agentic AI Task Execution

The developer delivered the task on time with good understanding of the requirements. Communication was clear and the work quality met expectations. Professional and reliable for small AI-related tasks.

JavaScript

Python

Machine Learning (ML)

React.js

Artificial Intelligence

+5 more

AI Property Search & Recommendation -- 2

Great work! Delivered the AI property search and recommendation system with clean code, smooth functionality, and easy communication. Highly recommend!

Website Design

Mobile App Development

Android

React.js

Artificial Intelligence

+5 more

Speech Recognition and LLMs Audio Processing System (archived)

Exceptional work by Rohit! The project was completed successfully and met all expectations. It involved advanced speech recognition and language models to process audio inputs, transcribe, and analyze recorded meetings. The end result provided valuable insights and actionable summaries, showcasing a high level of expertise and commitment. Highly recommend!

Emojify: Face Recognition & ML with React.js

Rohit did an amazing job on the "Emojify" app! He made real-time emoji overlays based on facial expressions work perfectly, and the app runs smoothly. He was easy to work with, responsive, and really skilled. Highly recommend him!

Python

Machine Learning (ML)

React.js

Artificial Intelligence

OpenCV

Full stack web & mobile app development

Dec, 2017 - Present

•

8 years, 6 months

Lives.digital

Dec, 2017 - Present

•

8 years, 6 months

With 6+ years in full stack web and mobile app development, I deliver scalable, responsive solutions using React, Node.js, Flutter, and Django. I specialize in Gen AI, ML, and data engineering with Apache Spark and AWS, alongside AR/VR, face recognition, NLP, and blockchain for secure, innovative apps. My expertise includes AI-driven chatbots and video analytics, ensuring high-performance solutions and client satisfaction with dedicated resources.

Ahmedabad, India

Dec, 2017 - Present

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8 years, 6 months

Indian Institute of Management, Indore

2014 - 2016

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2 years

Master of Business Administration (MBA)

India

2014 - 2016

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2 years

Rajiv Gandhi Prodyogiki Vishwavidyalaya

2010 - 2014

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4 years

Computer Science and Engineering

India

2010 - 2014

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4 years

Preferred Freelancer Program SLA