P

Param C.

Lead ML Engineer

San Diego, California, United States2 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Developed a Protein Cluster RAG Chatbot Pipeline.
  • Achieved 99.96% f1 score using Ensemble Modeling.
  • Optimized search pipeline at 7-Eleven significantly.
Stackforce AI infers this person is a Machine Learning Engineer with a focus on Healthcare and AI-driven solutions.

Contact

Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data AnalysisDeep LearningComputer VisionSoftware Development

Other Skills

AI Personalization and RecommendationKnowledge Graph EmbeddingsRetrieval-Augmented Generation (RAG)MLOpsLarge Language Models (LLM)Python (Programming Language)Software DesignStatistical Data AnalysisRegression AnalysisR (Programming Language)Recommender SystemsRetrieval-Augmented GenerationDocker ProductsLangChainSearch

About

I am a Machine Learning Engineer with a strong foundation in knowledge graphs, NLP, CV as well as Classical ML. With experience in deploying scalable ML solutions, optimizing engagement-driven algorithms, and ensuring ethical AI practices, I am eager to build impactful models that enhance user experience and foster stronger community impact. I have been actively publishing my research work on GitHub at github.com/paramchordiya. Recently, I have been developing a comprehensive Protein Cluster RAG Chatbot Pipeline, which integrates M. tuberculosis protein cluster representation with a RAG-based chatbot. This system leverages research papers related to specific proteins or their clusters, addressing a longstanding challenge in bioinformatics—combining the study of complex protein structures with an interactive and efficient retrieval system. By enhancing the accuracy and speed of understanding protein interactions, this work contributes to advancing computational approaches in structural biology. I am actively seeking full time roles that will allow me to further refine my skills and gain practical experience in the exciting field of Machine Learning and Software Development. I am eager to learn from and collaborate with experts and peers in the industry, and to contribute to cutting-edge and impactful solutions that can make a difference in the world. Google Scholar - https://scholar.google.com/citations?user=oGQltpIAAAAJ&hl=en

Experience

2 yrs 10 mos
Total Experience
1 yr 1 mo
Average Tenure
2 yrs 1 mo
Current Experience

7-eleven

Machine Learning Engineer

Apr 2025Present · 1 yr

  • AI Personalization and Recommendation
AI Personalization and RecommendationMachine Learning

Uc san diego

Teaching Assistant - Quantitative Methods

Sep 2024Dec 2024 · 3 mos · San Diego, California, United States · On-site

Statistical Data AnalysisRegression AnalysisR (Programming Language)Data Analysis

7-eleven

Machine Learning Engineer

Jun 2024Aug 2024 · 2 mos · Irving, Texas, United States · On-site

  • Optimized 7-Eleven’s search pipeline using GTR-T5 embeddings, RAG, and FAISS, achieving an average MRR of 0.4
  • Boosted the NDCG score from 0.16 to 0.3 (an 87.5% improvement) by optimizing search against existing search logs
  • MLE at 7Next (Research & Development Dept. of 7-Eleven)
Recommender SystemsLarge Language Models (LLM)Retrieval-Augmented GenerationDocker ProductsNatural Language Processing (NLP)LangChain+3

Uc san diego health

Machine Learning Researcher

Mar 2024Present · 2 yrs 1 mo · La Jolla Shores, California, United States · On-site

  • Recently, I have been developing a comprehensive Protein Cluster RAG Chatbot Pipeline, which integrates M. tuberculosis protein cluster representation with a Knowledge Graph based RAG chatbot. This system leverages research papers related to specific proteins or their clusters, addressing a longstanding challenge in bioinformatics—combining the study of complex protein structures with an interactive and efficient retrieval system. By enhancing the accuracy and speed of understanding protein interactions, this work contributes to advancing computational approaches in structural biology.
  • Exploring how artificial intelligence can help us better understand enzymes, their substrates, and biochemical systems more generally.
Knowledge Graph EmbeddingsRetrieval-Augmented Generation (RAG)MLOpsLarge Language Models (LLM)Python (Programming Language)Software Design+2

Larsen & toubro

Machine Learning Research Intern

Jan 2023Jun 2023 · 5 mos

  • Enhanced scene detection to an accuracy of 97.8% for optimizing power resources using custom YOLO V8 with PyTorch
  • Designed a video analysis system with partitioning features with OpenCV & Increased accuracy by 40% over YoloV3
  • Produced live time series graphs from SQLite data using NumPy, Matplotlib, & Pandas via Flask, with 100ms response time
Computer VisionDeep Learning

Pune institute of computer technology

Machine Learning Researcher

Dec 2022Sep 2023 · 9 mos · Pune, Maharashtra, India

  • Achieved a 99.96% f1 score & 99.97% accuracy using Ensemble Modelling beating the existing publications
  • Developed custom ensemble model combining pre-trained CNN for feature learning with a classification model on reduced features
  • Abstract - https://drive.google.com/file/d/1TNyKbqT65yNiFutbk0PD2etrb0zricMu/view
Generative Adversarial Networks (GANs)Deep LearningArtificial Intelligence (AI)Computer VisionMachine LearningTensorFlow

Mibaio

Software Engineer

Jan 2022Apr 2022 · 3 mos · Pune, Maharashtra, India

  • Incorporated MERN Stack to architect backend infrastructure, driving IoT products with a 30% server response time reduction
  • Engineered responsive websites with ReactJs, MySQL, MongoDB, boosting page load speed by 40% and user engagement by 25%
  • Designed efficient IoT cloud server with MQTT & HTTPS, ensuring 98% uptime and cutting data transmission latency by 50%
Full-Stack DevelopmentMySQLMERN StackMachine LearningMongoDBSoftware Design+1

Education

UC San Diego

Master of Science - MS — Electrical & Computer Engineering - Machine Learning & Data Science (EC93)

Sep 2023Mar 2025

Indian Institute of Technology, Madras

Bachelor of Science — Programming & Data Science

Jan 2021May 2023

Pune Institute of Computer Technology

Bachelor of Engineering - BE — Electronics and telecommunications Engineering

Jan 2019Jan 2023

Stackforce found 100+ more professionals with Machine Learning & Natural Language Processing (nlp)

Explore similar profiles based on matching skills and experience