Yashas Rajanna Naidu

AI Researcher

Boston, Massachusetts, United States0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Improved loan approval accuracy by 20% through ML solutions.
Developed AI systems with cloud-native deployment.
Built scalable data pipelines processing millions of records.

Stackforce AI infers this person is a skilled AI and ML engineer with expertise in data engineering and cloud deployment.

Contact

rajannanaidu.y@northeastern.edu LinkedIn

Skills

Core Skills

MentorshipTeachingData EngineeringAi DevelopmentBackend DevelopmentAi IntegrationIot DevelopmentMachine Learning

Other Skills

Curriculum SupportStrategic CommunicationsPython (Programming Language)LangChainPostgreSQLdockerpgvectorAmazon Web Services (AWS)FastAPIStreamlitOpenAI APIsazure cloudREST APIsRole-Based Access Control (RBAC)Next.js

About

I build, evaluate, and operate production-grade ML systems that turn data and models into reliable, scalable AI products. My work spans applied ML, data engineering, and MLOps from model development to large-scale pipelines to cloud deployment. Across finance, urban mobility, and AI platforms, I've delivered measurable impact: • Improved loan approval accuracy by 20% through feature engineering and ensemble modeling. • Built PySpark and Databricks pipelines processing 3.2M+ records for predictive modeling. • Designed and deployed cloud-native AI systems using Python, TensorFlow, Docker, and CI/CD. Technical toolkit: Python, SQL, Spark, PyTorch, TensorFlow, FastAPI, Databricks, GCP, AWS, Docker plus hands-on experience with LLM systems, RAG pipelines, and model evaluation. Currently pursuing a Master's in Applied Machine Intelligence at Northeastern. Seeking applied ML, AI engineering, data engineering, or MLOps roles building robust AI systems at scale. If you're working on data platforms, ML infrastructure, or AI products let's connect.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Northeastern university college of professional studies

Student Tutor EAI/AAI

Mar 2026 – Present · 3 mos · Boston, Massachusetts, United States · Hybrid

Provide academic support for Enterprise AI courses through office hours (Boston campus and online), delivering targeted mini-lessons and practice sessions while collaborating weekly with instructors to align tutoring with course objectives and identify students needing additional support.

MentorshipTeachingCurriculum SupportStrategic Communications

Intelligent dataworks

Data Engineer & AI Developer

Sep 2025 – Dec 2025 · 3 mos · Boston, Massachusetts, United States · Remote

Built core features of an AI-powered HR platform spanning the full hiring lifecycle. Developed LLM-powered resume screening and RAG-based assistants over 500+ HR policy documents, reducing manual review time by 45%. Designed FastAPI/PostgreSQL backend services with role-based access controls, automated AWS data pipelines for candidate flow analytics, and delivered dashboards tracking hiring trends and team-level metrics.

Python (Programming Language)LangChainPostgreSQLdockerpgvectorAmazon Web Services (AWS)+5

Stealth ai startup

Artificial Intelligence Engineer

Jul 2025 – Present · 11 mos · Boston, MA

Northeastern university college of professional studies

Backend Software Developer Engineer - EXP

Apr 2025 – Jul 2025 · 3 mos · Boston, Massachusetts, United States · Hybrid

Built and shipped the MVP of a full-stack dental clinic booking platform in 12 weeks, designing secure backend services with FastAPI and PostgreSQL (role-based access controls) and integrating an AI-powered assistant to automate appointment routing and patient support. Implemented CI/CD pipelines and containerized deployments, enabling ~40% operational efficiency gains for clinics.

Python (Programming Language)PostgreSQLdockerazure cloudLangChainREST APIs+5

Yantromitra

IOT R&D

Oct 2023 – Nov 2023 · 1 mo · Bangalore · On-site

Developed and deployed multiple IoT prototypes using Arduino, sensors, and Python for smart agriculture, reducing data collection time by 40%. Implemented statistical filtering algorithms to improve sensor accuracy by 25% and integrated hardware with cloud platforms for real-time data visualization.

Internet of Things (IoT)aurdinoPython (Programming Language)Artificial Intelligence (AI)C++Sensor Integration+1

Prinston smart engineers

Machine Learning Intern

Jul 2023 – Sep 2023 · 2 mos · Bangalore · Hybrid

Built applied ML solutions for credit risk and loan approval, improving approval accuracy by 20% through targeted feature engineering and supervised models. Streamlined data preprocessing and experimentation workflows to reduce iteration time by 30%, and deployed trained models as Dockerized APIs for scalable real-time inference.

Machine LearningRegression AnalysisPython (Programming Language)SQLData ClassificationData Visualization+2