Hire the Top 2% of
Remote R&D Tax Credit Developers
in India

Narendra S.

R&d tax credit developer in India (UTC+6)

Risk analyst with 6+ years of experience in various risk including credit risk, IFRS9, scorecard development, statistical modeling, climate risk, operational risk. I can use technologies such as R, Python proficiently. I have also knowledge of SAS, SQL, Tableau. I have experience in developing web applications using R shiny. Well-versed in visualization using R, Python, Rmarkdown reporting, report automation.

Rudraksh A.

R&d tax credit developer in India (UTC-8)

Pursuing opportunities in Data Science, Quantitative Finance, or related domains leveraging 3 years of varied experience in Model Development, Data Analysis, and Credit Risk Assessment.

Yash R.

Vetted R&d tax credit developer in India (UTC-7)

Laser focussed on quant research in derivatives market and training state-of-the-art AI models across the globe.

Arushi S.

Vetted R&d tax credit developer in India (UTC+6)

I am Arushi Singhal, Software Engineer at Amazon. I have a keen interest in Algorithmic Problem Solving and have been programming for around 7 years now. I interned in Summer 2019 at Google as a Software Engineer. In Summer 2018, I did a Machine Learning internship at Robert Bosch Engineering and Private Limited, Bangalore, India (RBEI). I have multiple experiences of back-end development for large-scale systems. During my internships, I worked with Python and machine learning libraries in Python, Java, gRPC, Protocol Buffer, Google Guice and Google’s Internal Frameworks, Django, Ruby on Rails. I have also contributed to many open-source projects, including the Linux Kernel. I have submitted over 50 patches to kernel code. My other contribution to Open Source can be seen on my GitHub Profile. I am also passionate about mentoring and motivating people to contribute to open-source projects and was Google Code-In Mentor in 2017 for OpenWISP and Sugar Labs. I also worked as a Computer Science Instructor at CodeConnect, where we as an instructor ensure that our computer science education is accessible, empowering, and supportive for the next generation, and committed to our mission of increasing diversity in tech. In CodeConnect, I gave Python lectures to Pre-University students. I also used to be a Student Teaching Assistant and Research Assistant and I find teaching/mentoring extremely motivating - sometimes I'd get introduced to new interesting topics that I'd probably never think of finding out about on my own if it wasn't for the purpose of explaining it to someone else. Sometimes I'd get a completely new perspective on subjects I thought I knew when trying to find a way to present it to someone else. I'd really love to keep learning this way. One of the topics I'm always happy to talk about are the interviews - I've done a fair share of them, most of them in top tech companies and I would love to share what I've observed so far. I'm always up for tackling interesting interview questions, doing mock interviews or just giving resume tips (I got my interviews at Amazon, Facebook, Microsoft, Google and also at open-source communities without a referral, so I might help you with reviewing your resume to make it stand out. :)) Other than that, you can always reach out to me if you have questions related to Java, Python, R, Matlab, C, C++, Data Structures, Algorithms, SQL, GIT, Mathematics etc. I try to keep my knowledge and skills up to date and learn something new every day by helping you! Being a researcher, quick learner and having software development experience, I believe I am a good fit for mentoring.

Krishna V.

Vetted R&d tax credit developer in India (UTC+6)

Krishna is a machine learning engineer who is curious and passionate about applied deep learning in computer vision, NLP, and reinforcement learning. He has four years of experience with machine learning, including having been a part of the analytics division of JP Morgan Chase & Co. He is a great communicator and enthusiastic developer.

Digambar I.

Vetted R&d tax credit developer in India (UTC+6)

With over 5 years in the IT industry, I specialize in Storage Software Development and am currently a Software Developer at Scale AI. My role involves training AI models using Python, where I apply my deep understanding of RAG applications and Large Language Models (LLMs). I excel at evaluating and selecting the right LLMs for different use cases and deploying data science models into production. I bring strong analytical and problem-solving skills to the table and have a proven track record of working effectively with business teams. I am proficient in Python and C and have a solid foundation in Volume Management, Clustering, and various storage and networking protocols.

Raghav P.

Vetted R&d tax credit 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

Gourab B.

Vetted R&d tax credit developer in India (UTC-8)

Hi, I am a seasoned Machine Learning Engineer and Data Science Researcher. I specialize in analytics, natural language processing, and machine learning, with over 5 years of professional experience. Proficient in utilizing Python, R, and relevant tools, I conduct advanced predictive modeling and uncover insightful trends, patterns, and correlations within datasets, enabling data-driven decision making processes. Check out my Portfolio at: https://bagchigourab.github.io

Thomas J.

Vetted R&d tax credit developer in India (UTC+6)

With over 14 years of programming experience and 5 years of big data analytics expertise, I am a senior data scientist at Solute gmbh, an AdTech partner in e-commerce . I leverage my Python, PySpark and machine learning skills to deliver optimized solutions and business intelligence for advertising and digital marketing in e-commerce. Specializes in the design and delivery of key, impactful programs. I have successfully completed several projects in various domains, such as semiconductor wafer defect analysis, MRO optimization, and similar parts detection, using advanced computer vision and machine learning techniques. I have also obtained a post-graduate certificate in big data analytics and optimization from INSOFE, and I am currently pursuing a master's degree in artificial intelligence and machine learning from BITS Pilani.

Suraj J.

Vetted R&d tax credit developer in India (UTC+6)

■ Experienced Data Scientist with MTech. (Industrial Engineering & Operations Research) from IIT Bombay over 10 years of expertise in machine learning, data orchestration, and supply chain optimization. ■ Proven track record in diverse industries, including retail, manufacturing, and finance ■ Demonstrated success in forecasting, feature engineering, and data visualization. Adept at developing and implementing data-driven solutions to enhance operational efficiency and drive business growth. ■ Innovative approach to problem solving, backed by 3 John Deere approved intellectual properties.