Sep 2024 – Oct 2025 · 1 yr 1 mo · Bengaluru, Karnataka, India

• Tech stack/tools used: GCP, Python, Rest API, Generative AI, ML, LLM, NLP, Vertex AI, Bigquery, Looker, Git, VS Code
• Building AI solutions for different business use cases using Generative AI and Conversational AI
• Worked on Advisory projects using Conversational AI products for large scale customers including Bell Canada, The Home Depot
• Built Automation tool for Code Reviewer using Vertex AI for LLM integration and FastAPI for establishing the backend route for UI integration
• Built LLM based Automation tool for Automated SOW generation that leverages Vertex AI
• Built Multilingual Chatbots for Telecommunication industry, worked on Automation testing of chatbots
• Led 2-3 team members while working on a large scale customer engagement for telecommunication industry, the chatbot was on production level and it was able to handle the live traffic requests successfully with good accuracy
• Worked on dashboards using BigQuery and Looker for capturing the Business Insights and Chatbot Metrics including both Deterministic and Generative flows

Nov 2023 – Sep 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

• Tech stack/tools used: Python, Rest API, Generative AI, ML, LLM, NLP, Git, VS Code, React, Docker, Next.js, Flask
• Building AI solutions for different business use cases using Generative AI
• Worked on different engagements building AI solutions at POC level for multiple clients including large PSUs
• Worked on Entity Extraction for extracting the necessary information from different client documents using different LLMs
• including Llama, Mixtral, Granite and Flan models which automated the manual task
• Worked on the Design and Development of UI Application using React and Next.js for various Generative AI tasks including Retrieval Augmented Generation, Entity Extraction, Summarization, Multi Class classification, response generation
• Worked on Dockerization for model integration and deployment
• Performed Prompt Engineering and worked on tuning LLM for different Generative AI tasks
• Worked on large document summarization using LangChain, used Vector databases like ChromaDB
• for building Generative AI based Question Answering bot using Retrieval Augmented Generation
• Worked on automated response generation for Play Store App Reviews for a client app using LLM
• Worked on code generation, code summarization, code conversion from one language to another
• language through LLMs using Code Llama and Mixtral models
• Worked with Flask server for backend, worked on the REST API functionality using FastAPI for establishing the backend route for UI integration
• Demonstrating and presenting the AI solutions through demo to business stakeholders

Jun 2022 – Nov 2023 · 1 yr 5 mos · Chennai, Tamil Nadu, India

• Tech stack/tools used: Python, Rest API, Django, Git, NLP, Machine Learning, AWS S3, AWS Sagemaker
• Built Machine Learning models for automating the Cashflow statement Preparation process.
• Worked on Querying the data from large databases, extracted URLs and table information
• of multiple documents using API requests. Worked on Spreadsheets API for data extraction.
• Created Python modules for different tasks including data extraction, file processing,
• data transformation and ML model integration
• Developed production ready scripts, Python packages, debugged, reviewed existing code,
• evaluated the performance of the ML models of Fortune 500 clients’ datasets.
• Worked on ETL and built CI/CD code pipelines for multiple ML models from scratch.
• Worked on different python libraries including Pandas, numpy, tensorflow, keras, scikit-learn and different ML architectures including CNN, KNN.
• Implemented and evaluated various Supervised and Unsupervised ML classification algorithms including Random forest, SVM, Naive bayes, logistic regression for Cashflow statement prediction.
• Used NLP techniques for text processing and for predicting the Cashflow Line item categories
• Worked on different encoding techniques including one-hot encoder, target encoder,
• label encoder, frequency encoder, hash encoder
• Worked on text embedding methods like GloVe, BERT, FastText, Word2Vec and TFIDF
• Worked on Python scripting using API and worked on JSON parsing for application configuration files
• Worked on AWS S3 for data storage and deployment using Kubeflow platform

Jun 2021 – Jul 2021 · 1 mo · Rupnagar, Punjab, India

• Worked on Robotic Arm Gestures Modelling for wall painting using Robot Operating System in Linux(Ubuntu).
• Used MoveIt framework with ROS for motion planning by defining different poses for the robot

Jul 2019 – Jun 2020 · 11 mos · Rupnagar, Punjab, India

• Organized coding sessions and mentored first year UG students