Apr 2024 – Dec 2024 · 8 mos · remote · Remote

• Working with LLM models to build generative AI Machine learning low code pipelines
• Built fully automated ML training and feature selection and model training pipelines for classification, regression and time series forecasting with LLMs for in-memory datasets
• Worked with research/delivery on various retrieval, model fine-tuning and knowledge representation for LLMs
• MLOps: Implemented testing strategies and code optimizations to make pipelines 30% faster

Nov 2023 – Mar 2024 · 4 mos · Singapore, Singapore · On-site

• Given metrics library to be fixed for client deployment
• Research metrics in synthetic data field and implement in scalable manner
• Generating datasets in particular distributions and config driven way

Oct 2021 – Feb 2024 · 2 yrs 4 mos · Singapore, Singapore · On-site

• Part of Antler incubator Feb-Apr 2022 cohort, where mainly learned building startup teams, founding companies, and working with VC backed ventures
• Founded Iterminds Pte. Ltd. in July 2022, where I mainly focused on technical aspects for insurance claims prioritization systems including building AI products based on latest advancement like GPT-3, parsing documents, finding frauds in claim with deep learning,
• Exploring business ideas and building MVPs for the machine learning/ AI products in banking and insurance industry
• Built products based on Large Language Models(LLMs) systems, Open-AI API based systems which could learn on custom data and produce outputs for customer datasets
• Worked on developing APIs and hosted systems on AWS cloud APIs backed by MySQL server
• Tools: AWS, python, pytorch, RNN, LSTM, LLMs, node.js, fast-api, MySQL, pyspark, scala

Dec 2019 – Sep 2021 · 1 yr 9 mos · Singapore · On-site

• Build algorithms to work with fast, large volume datasets using deep learning and machine learning
• Building data models, design pipelines and algorithms which can be productionize as on-prem as well on cloud deployments
• Automate information from the documents and data filling with the NLP algorithms
• Tools: Azure Cloud, IoTEdge services, python, signal processing, RNN, LSTM, Autoencoders, Bert, NLP, time series modelling, gitlab/Jenkin CI-CD
• Worked on green-field product development for marine industry using IoT systems
• Working with business users, senior management and technical teams to glean features, work withing limited edge environment to construct analytics product for critical equipment

May 2019 – Dec 2019 · 7 mos · Singapore

• Client delivery lead for transaction monitoring & name screening machine learning products
• Delivered intense, multidisciplinary and large scale products in 6 months time-frame from scratch
• Guide team for machine learning development, helped in supervised & unsupervised approaches for the AML(Anti-Money Laundering) solutions
• Act as bridge between client, product team and integration teams for data architecture & ETL development
• Worked on big data machine learning platform using spark, scala, pyspark & Hadoop ecosystem

Mar 2017 – May 2019 · 2 yrs 2 mos · Singapore

• Lead data scientist on a team for multiple machine learning use cases in HR & Finance domain use case which is used across SAP products
• Built and tested machine learning model for ranking resumes with respect to job details and vice versa
• Enhanced models runtime and scale performances for finance usecases
• Improved accuracy of baseline by 10%, by studying the latest research in text mining using Word2Vec and deep learning technologies like LSTM and supervised learning
• Present the latest findings to management, explain the impact on existing architecture and communicate expectations and requirements to the team
• Labeled data and provided guidelines to extend the existing data sources
• Studied, suggested and implemented improvements on model validation criteria to cover the wide variety of test cases
• Designed systems which could process terabytes of data, 10mill API calls per month
• Provide training to new joiners about the existing data science and project procedures

Jul 2016 – Mar 2017 · 8 mos · Singapore

• Data engineering - build and maintain data pipelines on AWS
• Setting up environments for data collection from proprietary IoT devices on Columnar database
• Analyze data for noise and improve data visualization so that data gathering can be improved and difficulties in data collections could be exposed
• Visit client sites and explain data collection processes, following up on data quality

Sep 2015 – Aug 2016 · 11 mos · Remote

• Scraping web for posts and republishing them in KDnuggets predefined format, also designed structured way to resolve common HTML5 formatting issues.
• Managing the social media channels for KDnuggets.
• I have written posts for current topics which are mainly focused on data science MOOCs, and Social Network Analysis. Which helped thousands of users for understanding data science, resource for it and advance techniques.

May 2015 – Aug 2015 · 3 mos · Remote

• Scraping web for posts and republishing them in KDnuggets predefined format, also designed structured way to resolve common HTML5 formatting issues.
• I have written posts for current topics which are mainly focused on data science MOOCs, and Social Network Analysis. Which helped thousands of users for understanding data science, resource for it and advance techniques.

Aug 2015 – Apr 2016 · 8 mos · Singapore

• Conceptualized and built a system to measure the digital effectiveness of insurance companies.
• Formulate the matrices and collected data from different APIs, performed data analysis and quantified them into a single score using Apache spark, nodejs and Angularjs
• Built a dashboard to show the comparison between different markets and companies using HiCharts

Jun 2015 – Nov 2018 · 3 yrs 5 mos · Remote

• Mentoring and Pair Programming with students/developers from online portal which are located all around the globe.
• Built data pipelines for ETL to consume terabytes of data using Hadoop ecosystem, also designed TDD environment
• Worked on time series modeling, deep learning, Q-learning, and unsupervised learning methodologies to resolve customer issues
• Gave 400+ session with a rating of 4.9/5.0.
• Featured in Top 10 Python and Java Experts on their website.
• Profile: https://www.codementor.io/devd

Dec 2012 – Dec 2014 · 2 yrs · Pune

• Application Developer (web application, Data Modelling & REST based Service development)
• Developed data model for fast retrieval and analysis using Cassandra, Python, and Spark
• Developed web services for presenting data and real-time analytics results
• Followed test driven development, extreme coding and pair programming principles.
• Designed and implemented web flow in Spring and implementation of database using
• Hibernate
• Understanding of the semantic web architecture RDF and OWLs. Updating and developing REST apis.
• Enhanced the real time notification system with new notifications, using Cassandra, Tapestry, mysql and atmosphere.