PodGenie
Built an LLM-powered tool for generating podcast scripts using LangChain, Gradio, GTTS, and PyTorch. Includes model monitoring with GitHub Actions for automated deployment and performance tracking.
Building the Future with Data & AI
ML Engineer at Boston University specializing in fine-tuning LLMs and building scalable AI systems
I am a Machine Learning Engineer at Boston University and Masters graduate in Applied Data Analytics (GPA: 3.75/4). Currently fine-tuning BERT and LLaMA models using LoRA, developing scalable NLP pipelines, and building production-ready AI services.
With experience at Waters Corporation, Axtria, and Omm IT Solutions, I've engineered high-performance APIs, built real-time Kafka pipelines processing 1M+ events/day, and deployed Dockerized microservices on AWS via Kubernetes. I have 3 published research papers and 6+ open source contributions to projects like Meshery, SunPy, and Kyverno.
Core Technologies
Experience & Education
Professional Experience
Machine Learning Engineer
Boston University • Jul 2025 – Present
- Fine-tuned BERT and LLaMA models on domain-specific tasks using LoRA
- Developed scalable NLP pipelines to extract sentiment from news articles
- Deployed and monitored NLP services in distributed production environments
AI Engineer
Omm IT Solutions • Feb 2025 – Jul 2025
- Built scalable AI-powered service using OpenAI APIs for document processing
- Deployed Dockerized microservices on AWS via Kubernetes
- Integrated CI/CD pipelines with GitHub Actions
Software Engineer
Waters Corporation • May 2024 – Aug 2024
- Engineered high-performance APIs with Django/FastAPI
- Built real-time Kafka analytics pipeline for 1M+ events/day
- Boosted data quality by 50% through validation pipelines
Education
Masters of Science in Applied Data Analytics
Boston University • Sep 2023 – Jan 2025
GPA: 3.75/4.0
B.Tech & M.Tech in Information Technology
IIIT Gwalior • Aug 2018 – May 2023
GPA: 7.8/10.0
Selected Publications
Data-Driven Approach for Dehazing of High-Resolution Multispectral Remote Sensing Images
IEEE IATMSI 2022
Cloud-based fault prediction using IoT in office automation
IEEE ICACITE 2023
Skills & Expertise
Machine Learning & AI
BERT & LLaMA Fine-tuning
NLP Pipelines
PyTorch & TensorFlow
Programming Languages
Python
SQL
R & Julia
Cloud & DevOps
AWS & Kubernetes
Docker & CI/CD
Terraform & Jenkins
Data & APIs
FastAPI & Flask
PostgreSQL & MongoDB
Kafka & PySpark
Featured Projects
Explore my latest work in LLM fine-tuning, AI-powered applications, and scalable data systems
Focusmate
AI assistant that leverages OpenAI API for contextual Q&A and exam generation. Built with React frontend and Flask backend, deployed on AWS EC2 with scalable architecture.
Data Science Job Market Analysis
Created a Kafka + EC2 pipeline storing data in MongoDB, with comprehensive analysis of trends from 2020-2023. Visualized insights with Tableau dashboards.
Data Modelling Automation Interface
GUI for dataset preprocessing and ML model evaluation. Reduced redundant preprocessing code by 40% with intuitive interface for data scientists and analysts.
Let's Connect
Interested in collaboration, have a project idea, or just want to chat about data science? I'd love to hear from you!
Get in Touch
Email
nakul314@bu.edu
Phone
+1 617-560-0854
Location
Boston, USA
Education
Boston University & IIIT Gwalior