Chirag Godawat Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Ka, In

San Francisco, Ca, Us

Generative AI for observability and application monitoring• Generative AI chatbot with timeseries telemetry data of applications and services, for - quick error resolutions, information gathering, high level snapshot and monitoring current state of systems and infrastructure etc• Research and Development on Root Cause Analayis (RCA) using Agentic AI workflows• Applying automated fix and resolution to incidents using Agentic AI

Armonk, New York, Ny, Us

Client Engineering– IBM Software Labs, WatsonX team• Machine Learning and Generative AI projects; AI for businesses• Document summarization and meta data extraction using Large Language Model (LLMs) used through Retrieval Augmented Generation (RAG) framework• Compliance check of financial annual reports with Indian Accounting Standards using Milvus vector database and Llama 2 - 70B parameter LLM model, reducing manual task of months to few hours• Chatbot (using StarCoder LLM) to convert natural language query to SQL based on the database and schema information provided• Auto email response generation using Mixtral Model and keyword similarity in knowledge base• Project risk prediction using GenAI: Generative AI based tool for Project Managers / Product Managers, to upload the proposed project pdf, and predict the success of the project using the past historical data of projects. The application also provides in detail analysis of the project - types of risk associated with the project, impact of each of those risks (High, Medium, Low), and mitigation steps to reduce or eliminate the impact of the risk• GenAI based customer care chatbot to answer user question on a ecommerce website, navigate through website etc. Chatbot capable enough to do comparitve analysis of different products offered, remember context/ chat history and use database to fetch information about products. • ETL and Data engineering stuff using spark, hadoop with WatsonX.data platform

Waltham, Ma, Us

• Generated an impact by increase of ~$1M/ year in profits and saving huge amount of man hours (by consuming just $6k/year - total project operating cost), from dynamic pricing initiative in the very first year of its launch• Built and deployed dynamic pricing version 2.0, which uses more sophisticated ensemble of models and ML pipelines, to increase the impact to $2M/ year in profits• Scaling of Dynamic Pricing: from 50 Vista products in 2 countries to 1300+ products in 17 countries• Reducing the cost of data products by 85% (from $5000/month to $800/month) by optimising the databricks jobs cluster configurations and improving pyspark code• Optimisation of snowflake data and tables, reducing storage used from 57GB to 3GB, ~95% reduction

Waltham, Ma, Us

Data and Analytics DepartmentPricing and Promotion Recommender ProjectTech Stack :- Snowflake, MLFlow, Airflow, Akeyless, Terraform, Docker, Databricks, PySpark on AWS, Gitlab• Managing of Akeyless infrastructure using Terraform scripts• Managing of several credentials using Akeyless• Designing of architecture and implementing end to end ML Pipelines/ MLOps using MLFlow• Built Reinforcement learning based pricing model along with Data Scientist in the team (Dynamic Pricing)• Scaled the above dynamic pricing model from 1 product of POC to 50 products in 2 countries• Worked on improving model performance. Reduced model training time by 66% (3hours to 1 hour) and reduced computation cost of AWS cluster by half (By selecting best cluster type considering speed vs cost tradeoff)• Used Airflow for orchestrating jobs in Databricks• Worked on setting up pipeline for getting competitor data• Created dashboards to track bug resolution time by using JIRA tools• Worked on handling snowflake schemas and access levels.• Handled several issues related to package versioning, CI / CD pipelines, security etc in the project.

New York, Ny, Us

Corporate and Investment Banking (CIB)Optical Character Recognition (OCR), Natural Language Processing (NLP) based application• Noun Duplication removal using Spacy, OpenNLP, and Noun Classifier model as per use case• Task of process flow change on Kafka to make NLP service event driven• Creation of Text Classification model, according to the use case, which reduced user efforts• Successfully owned and handled production release and issues

New York, Ny, Us

Corporate and Investment Banking (CIB)Optical Character Recognition (OCR), Natural Language Processing (NLP) based application• Long Short-Term Memory (LSTM) models accuracy upliftment• Created new hierarchy of link tables for the application in SQL• Worked on rule-based engine in python• Chatbot POC using AIML (Artificial Intelligence Markup Language)• Revamped User Interface (UI) and added features for the application to give a modern look using React.js• Worked with JUnits to increase code coverage above 85%• Wrote Unit tests in python for repository• Owned the task of server migration and server certificate management• Provided production support for the application

Munich, De

Training regarding industrial communication, security, drives, automation, PLC's and digitizationWorked on real-world application and manufacturing of the same

Ahmedabad, Gujarat, In

Remote Internship from IIM Ahmedabad.Created digital stories for government school students in different languages Received special commendation for extraordinary performance.

Executive Program In General Management

Master Of Science - Ms, Machine Learning And Artificial Intelligence

Advanced Certification, Machine Learning And Cloud

Bachelor’S Degree, Electronics And Communications Engineering

High School, Physics, Chemistry, Maths, English, Computer Science