Hire the Top 2% of
Remote NumPy Developers
in India

Mayank J.

Vetted NumPy developer in India (UTC+6)

I am an experienced software developer/researcher with over 7 years of experience (3 years in academia and then 4 years in the industry). I have worked in a diverse set of companies ranging from early stage startups to big internet companies. I believe I have a good knack of understanding a problem and coming up with a quick solution for it.

Shubham T.

Vetted NumPy developer in India (UTC+6)

Software engineer with experience in machine learning, backend and frontend development. Leveraging my wide range of expertise to build high impact products.

Ravi .

Vetted NumPy developer in India (UTC+6)

Seasoned AI/ML Specialist with 16 years of experience, specializing in AI-ML project and product strategy, program management, and quality assurance execution. Focused on developing advanced NLP applications using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). Expertise in AI-ML application development life cycle management, creating robust and scalable solutions. Proven skills in Python backend development and extensive experience in test automation with Selenium, Cypress, and Playwright. ISTQB certified and proficient in Agile methodologies, known for effective collaboration with cross-functional teams.

Raghav P.

Vetted NumPy developer in India (UTC+6)

Highly experienced Full-Stack Data Scientist / Machine Learning Engineer and Software Developer, delivering production ready ML models and customised softwares to automate business processes and decision making. With an added advantage of attaining MBA from India's finest B-school, I build tech powered solutions to ensure maximum profitability for any business venture. Skills : ● Data Science & Machine Learning : Supervised ML, Linear Regression, Decision Tree, Prompt Engineering, Hypothesis Testing, Statistics, Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering, Data Visualization, SQL, Scikit-learn, NumPy, Pandas, Matplotlib, Plotly, Dash, Microsoft Excel, Metabase, AWS Athena & Sagemaker, Google BigQuery, Unsupervised ML, Neural Nets, NLP, Large Language Models (LLM), GPT, Text Embedding, Vector Databases, PyTorch, fastai, TensorFlow, OpenAI API, Generative AI (GenAI) ● Programming : Python, MySQL, PostgreSQL, HTML, CSS, Flask, Heroku, APIs, Git, AWS S3 & EC2, JavaScript, jQuery, Java, Werkzeug WSGI, Leaflet.js, Folium, GeoPandas, Google Maps API & Sheets API, Bootstrap Professional Work : 1. Engineered a suite of cutting-edge ensemble ML models, revolutionizing underwriting processes for personal loan products a major FinTech Lender in India. 2. Developed and deployed 6 ML models for credit-risk scorecard, using 5 data sources (Bureau, Bank Statement, SMS, Smartphone App Info and Demography), improving risk spread by 1200%. 3. Devised NLP based models (Passive Aggressive Classifier and XGBoost Classifier with TFiDF Vectorizer) for classification of SMS, improving recall by 35% and accuracy by 60%, and saved 36 man-hours daily, processing over 200 Mn SMS/day. 4. Created LLM based classifier models using Prompt Engineering on ChatGPT (OpenAI), Mistral AI (Open Source) and other open source models. Deployed using AWS Sagemaker. 5. Crafted an LLM based Law ChatBot that answers to Lawyer's questions pertaining to any specified PDF file of a Legal Document. 6. Built an in-house MLOps infrastructure with AWS Sagemaker, enhancing model integration. 7. Engineered 330+ features from SMS data to emulate metrics including cash flow, lifestyle and financial literacy indicators. Included steps like Exploratory Data Analysis, Data Wrangling, Cleaning & Tidying, Feature Engineering. 8. Designed comprehensive daily and monthly model monitoring dashboards using Flask-Python, Metabase and SQL tables, improved response time to anomalies by 75%, enhancing overall model reliability and performance. 9. Designed a Customer Loyalty Program and delivered via a web and Android app, over 2500 DAU, rated 4.6 on play store for a manufacturer and distributor of PVC Plumbing Systems in Central India. 10. Increased territorial penetration by over 25% by building automated interactive GIS sales dashboard for a wholesale business in India. 11. Achieved 100% monthly revenue target completion by creating Business Intelligence Dashboard – Google Apps Script. 12. Reduced total credit by 20% in five months by building a Python-bot that sends regular WhatsApp messages to debtors. 13. Saved annual recurring cost of ₹25 lakh+ by automating data collection for a hedge fund using Yahoo Finance API & Python. 14. Cut time from over 4 hours to 2 clicks by developing a GIS-enabled web application for new-license territory discovery for a developer and licensor of Escape Room Game Designs in USA. Personal Projects : 1. Developed a Fake News Classifier using TfIdf Vectorizer and Passive Aggressive Classifier - ML, pandas, scikit-learn. 2. Created a Spam Email Classifier using Naïve Bayes and XGBoost Classifiers - ML, NumPy, seaborn. 3. Designed a Cat Image Classifier using multi-layer neural network - DL, NumPy, Matplotlib, h5py, PIL, SciPy. 4. Developed a web app to manage portfolio of stock with real-time prices using IEX API -SQLite, Flask, HTML, CSS, JS. 5. Built a terminal-run card game called Declare - Python. Education : Computer Science and Data Science Masters (Self-Learned) Major Electives: Computer Science: MIT 6.0001, MIT 6.0002, Automate the Boring Stuff with Python, Harvard CS50, Harvard CS50 - Web Development, Intro. to Algorithms, Design and Analysis of Algorithms, Software Development Lifecycle, GIT and GitHub, Flask for Python, The Python Mega Course, Data Structures, Analysis of Algorithms, The Odin Project etc. Data Science: Stanford CS229, Stanford Machine Learning (CS229A), Data Science path on Codecademy.com, Data Science and Machine Learning Bootcamp, Neural Networks and Deep Learning, Deep Learning with PyTorch: Zero to GANs, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

madhur Y.

Vetted NumPy developer in India (UTC+6)

7 years of extensive experience in Machine Learning, Deep Learning, and Data Analytics solutions. A motivated Data Scientist well-versed in Statistical Analysis, Machine Learning, and Deep Learning using Python. Have Experience with MNCs as well as startups with work assignments across the USA, UK, Australia, and India. Well recognized for getting things done and getting things fixed. Essentially a learner at heart, a problem solver, and always striving to be a value creator.

Tanisha B.

Vetted NumPy developer in India (UTC+6)

6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.

Manimaran P.

Vetted NumPy developer in India (UTC+6)

A passionate Software Engineer/Data Scientist working on unstructured data to deliver business value, focusing on NLP and Computer vision. I always like to do things hands-on.

Shampa D.

Vetted NumPy developer in India (UTC-8)

Expertise in data analysis of large datasets and quality assurance of methodologies and processes for managing large-scale databases, with specialization in the EdTech domain. Proficient in leveraging analytical tools and techniques to extract insights, optimize processes, and drive informed decision-making for organizational success.

abhikandoi2000 .

Vetted NumPy developer in India (UTC+6)

I am a Senior Software Engineer with expertise in C/C++, Python, Java and React. I have experience working with frameworks like Django, React, and Spring Boot. Additionally, I have knowledge of various software tools and technologies such as Linux, Git, Redis, and Docker. I have successfully managed the development of high-throughput imaging scanners and implemented deep learning models for image analysis. I have also optimized system performance and mentored junior engineers. I hold a Master's degree in AI, ML, Computer Vision, and Robotics.

Yuvaraja S.

Vetted NumPy developer in India (UTC+6)

Trading Systems Engineer / Quantitative Developer with 20+ Years Experience. Key Skills: C/C++(11/14/17), STL, Multithreading, Perl, Python, Unix/Linux, Unix Shell Scripting, Machine Learning, Data Science, Quantitative Development / Trading Skill Level: C, C++ (Expert), Perl (Expert), Java(Prior), Ruby, Python(Current), Unix Scripting (Expert) Focus Areas: Electronic Trading, Equities, Fixed Income, Derivatives, Market Data, FIX, Multi-Threaded/Parallel Programming, Solace Messaging Systems, Unix Internals, Machine Learning, Blockchain, Solidity, Ethereum Methodologies: Machine Learning, Design Patterns, Distributed Computing, Lean Startup Methodologies APIs / Libraries: STL, Boost, Multi-Threading, Pthread, FIX, System Calls, Scikit-Learn, NumPy, Pandas, Matplotlib, DataRobot Communication: IP (TCP,UDP), IPC (Unix sockets, Message Queues, Shared Memory), Google Protobuffers Tools: Debugging (gdb), Profiling (Valgrind, efence, memprof), Version Control (Git, Cvs, Svn), Forensic (Ethereal, TcpDump, TcpReplay, Tcpslice) Quick facts: \* Entrepreneurial, Quick learner, curious and hardworking. Risk taker. Inquisitive with attention to details. Thinks in terms of Pareto(80/20 rule) and first principles \* Exited about - Trading, finance, new technologies, solving open ended problems. \* Loves - Everything Unix / \*nix, C, C++, Perl and Python \* Currently developing a Trading System using open source technologies(Linux, Perl, Python, C++) and Machine Learning concepts