Yatharth Kukadia
@yatharthkukadia
AI and machine learning engineer building LLM, RAG, and scalable ML pipelines for real-world products.
IndiaWhat I'm looking for
I’m an AI-focused engineer with experience building machine learning and LLM-powered systems, from predictive models to voice-enabled conversational AI. I enjoy turning messy inputs into reliable pipelines—whether it’s tabular data, enterprise knowledge, or real-world speech interactions.
At ScaleFull Technologies, I developed a house price prediction model using linear regression and decision trees, improving predictive accuracy by 15% through feature engineering. I also supported EstateIQ by contributing to data preprocessing and model evaluation pipelines, and helped optimize model performance for deployment with a focus on computational efficiency and scalability.
At Fraction Labs, I built and optimized Speech-to-Text and Text-to-Speech pipelines for a citizen support platform. I integrated LangChain-based RAG workflows with FastAPI services, designing end-to-end AI processing pipelines and working with engineering and operations teams to prototype, evaluate, and deploy production-ready MVPs.
Experience
Work history, roles, and key accomplishments
AI Engineer Intern
Fraction Labs
Jul 2025 - Oct 2025 (3 months)
Developed and optimized Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines for an AI-powered citizen support platform to support accurate voice interactions and multilingual accessibility. Integrated LangChain-based RAG workflows with FastAPI backend services, built end-to-end AI processing pipelines for voice, retrieval, and LLM response generation, and worked on model evaluation and prompt
Software Engineer Intern
ScaleFull Technologies
Nov 2024 - Jan 2025 (2 months)
Developed a machine learning house-price prediction model using linear regression and decision trees, improving predictive accuracy by 15% through optimized feature engineering. Contributed to EstateIQ by building data preprocessing and model evaluation pipelines and collaborating on deployment optimization for computational efficiency and scalability.
Education
Degrees, certifications, and relevant coursework
Ajeenkya D Y Patil School of Engineering
Bachelor of Engineering, Artificial Intelligence & Data Science
2022 - 2026
Grade: 8.72/10
Activities and societies: Led a 20-member team in organizing Technovanza 2K23; served as Secretary of the Data Talks Club.
Pursuing B.E. in Artificial Intelligence & Data Science at Ajeenkya D Y Patil School of Engineering (Nov 2022–Jul 2026). Achieved an 8.72/10 GPA and contributed to student technical leadership roles.
Availability
Location
IndiaAuthorized to work in
Portfolio
github.com/yatharthkukadiaJob categories
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