Welcome to My Portfolio
Specialist in Enterprise Workflow Automation.
I build AI systems that automate complex enterprise workflows, from multi-agent pipelines to document processing. Research-backed, production-tested, and always shipping with measurable results.
Selected Projects
Co-authored paper (accepted at ICFAiSE 2025) achieving R²=0.98 using LSTM for turbidity prediction through 2-year time-series analysis, outperforming ARIMA and linear regression.
Led a 6-person team building three distinct models (CNN, CNN with bi-directional LSTM, and convolutional LSTM) achieving accuracy rates of 97.7%, 95%, and 85.3% respectively.
Career Journey
What I Do Best
I work at the intersection of research and production. I've published at peer-reviewed conferences and shipped AI systems that handle real-world data in regulated domains. The numbers aren't vanity metrics. They're the difference between a prototype and something a business actually relies on.
Orchestrating pipelines with AWS Step Functions, LangGraph, and multiple LLM providers. Built production systems processing thousands of documents.
Vector search with Pinecone, Titan embeddings, and cosine similarity retrieval. Dual-layer confidence scoring with LLM fallback systems.
Fine-tuned GPT-4o-mini for 58-entity NER with 99.1% accuracy. Pydantic schema validation, synthetic data generation, and custom annotation pipelines.
Infrastructure-level expertise: Step Functions, Lambda, Bedrock, SageMaker, Textract, Comprehend, CloudFormation. Not just API calls, but full cloud architecture.
Published at AMCIS 2025 and ICFAiSE 2025. Bridges the gap between academic research and production systems that businesses depend on.
Credentials
MS Data Science
4.0 GPA — Graduated one semester early
Deep Learning, NLP, Statistical Methods, MLOps, Business Intelligence. Research Assistant under Dr. Nima Kordzadeh.
BTech Computer Science
Aug 2021 to May 2024, GPA: 3.56
Python, Machine Learning, NLP, Software Engineering, DBMS
What People Say
"Pradyumn joined Boredm LLC and immediately set a new standard for our ML workflows. He successfully deployed a fine-tuning pipeline that automated a critical part of our business, reclaiming hundreds of hours for our human annotators while keeping error rates near zero. Beyond his technical output, Pradyumn boosted our deployment velocity by leading the debugging and QA protocols. He is an asset to any team looking for a Machine Learning Engineer who prioritizes both precision and speed."
Kanishka Soni
Data Analyst, Boredm LLC · Carnegie Mellon University
"Placeholder testimonial. Pradyumn will add a second LinkedIn recommendation here. This space is reserved for someone who can speak to his research contributions or collaboration style."
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Title, Company
Let's Connect
I'm looking for AI Engineer roles where I can apply production-grade multi-agent systems, RAG pipelines, and fine-tuning expertise. Based in Boston, open to relocation anywhere in the US.