Open for opportunities

Hi! I'm Trilok Nath

I'm |

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With 6+ years of experience in Data Science and AI Engineering, I specialize in building intelligent systems that solve real-world business problems through advanced analytics and machine learning.

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My Resume
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About Me

TN
6+ Years
Experience

Location

Gurgaon, India

Role

Data Scientist

Company

IBM

I am Trilok Nath, a results-driven Data Scientist with over 6 years of experience in software development and data science. Currently working at IBM in Gurgaon, I specialize in Generative AI, LLMs, Agents, Multimodality, Retrieval-Augmented Generation (RAG), and other cutting-edge technologies.

My professional journey is defined by delivering high-impact solutions that drive business transformation. At IBM, I've:

  • Led the development of an automated Content Generation System that reduced regulatory approval document processing time by 80%
  • Contributed to a Chat Virtual Agent that enhanced digital self-service capabilities
  • Co-developed a Generative AI solution that increased order placement efficiency by 25%

Prior to IBM, I:

  • Engineered connectors at Webkul Software that reduced manual data entry time by 50%
  • Developed web applications at Chadha Industries that reduced operational costs by 20%

Recognition

IBM Entrepreneur Award

2024

IBMer Appreciation

2023

Technical Expertise

AI & Machine Learning

Large Language Models Generative AI RAG Multimodality Langchain Autogen

Platforms & Tools

WatsonX.ai MLflow Vector Stores Azure GCP

Programming & Data

Python SQL PySpark API Development

Certifications

Microsoft AZ-900
Microsoft AI-900
Microsoft DP-900

Professional Experience

2022-Present
🚀

Data Scientist - Artificial Intelligence

IBM

- Content Generation System (CGS) : Spearheaded the development of an automated product that cut down regulatory approval document processing time by 80%, reducing it from several months to just a few weeks. Deployed successfully on the client's Azure Cloud, accelerating regulatory workflows. - Chat Virtual Agent Pilot : Contributed to the development of a Virtual Agent that enhanced digital self-service using WatsonX Assistant and LLMs. Key achievements include a 50% reduction in the number of clicks required to find relevant information on the website, improving user experience and support efficiency. - GenAI ABCOrder : Co-developed a Generative AI solution that increased order placement efficiency by 25%. Delivered impactful features like automated data extraction, product description enhancements, and a RAG-powered virtual assistant, significantly optimizing the customer experience.

Generative AI LLMS RAG Python Azure FastAPI Docker
2021-2022
🚀

Software Engineer

Webkul Software Pvt. Ltd.

- Engineered connectors that automated the integration of accounting software (FreshBooks, Xero, Zoho) with odoo ERP, reducing manual data entry time by 50% . - Implemented real-time data synchronization between Odoo ERP and e-commerce platforms (Prestashop), enhancing data accuracy and improving transaction processing speed by 20% . - Optimized system performance through debugging and feature enhancements, increasing overall platform efficiency by 10% .

Python Django SQL API Azure
2019-2021
🚀

Software Engineer

Chadha Industries Pvt. Ltd.

- Developed and launched web applications on Azure Cloud, which reduced operational costs by 20% due to optimized cloud resource allocation and performance. -Customized Odoo ERP modules, leading to 25% improvement in business process efficiency and tailored functionality to meet specific business needs. -Built and deployed microservices-based web applications, ensuring seamless integration with REST APIs, improving response times and scalability by 30% .

Python SQL Django HTML CSS JavaScript API

Featured Projects

AI Content Generation Platform

AI Content Generation Platform

Data Preprocessing Generative AI Multiagents Autogen Weaviate MilvusDB OpenAI GPT Langchain Azure OpenAI Langgraph

End to End development of an automated product that cut down regulatory approval document processing time by 80%, reducing it from several months to just a few weeks. Deployed successfully on the client's Azure Cloud, accelerating regulatory workflows.

SpaceX Falcon 9 First Stage Landing Prediction

SpaceX Falcon 9 First Stage Landing Prediction

Data Collection Data Preprocessing Data Cleaning Model Building Model Evaluation Model Deployment

Developed a machine learning model to predict the landing outcome of SpaceX Falcon 9 first stage using flight data. Achieved an accuracy of 94% by training the model on 1000+ flight records.

In this capstone, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage. If we can determine if the first stage will land, we can determine the cost of a launch. This information can be used if an alternate company wants to bid against SpaceX for a rocket launch.
Laptop Price Predictor

Laptop Price Predictor

Data Cleaning Regression Models Classification Models EDA Streamlit Model Evaluation

In this project we are creating a laptop Price predictor with the help of Machine Learning Models.

We have used several Models:
  • Linear Regression
  • Ridge & Lasso
  • SVMRegressor
  • DecisionTreeRegressor
  • RandomForestRegressor
  • Boosting: AdaBoost, Gradient Boost, XGBoost
  • Ensemble: Voting Regressor, Stacking Regressor

Technical Skills

Programming Languages

Python
SQL
JavaScript
Java

Machine Learning & AI

Machine Learning
Deep Learning
NLP
Computer Vision
Time Series
Reinforcement Learning
Generative AI

Frameworks & Tools

PyTorch
Autogen
Langchain
RAG
Pandas
Scikit-learn
Matplotlib
HuggingFace
FastAPI
Django
Spark

DevOps & Cloud

Azure
GCP
Docker
Kubernetes
CI/CD
MLflow

Get in Touch

Feel free to drop us a message below!