Nehil Sood

AI Researcher

Jaipur, Rajasthan, India3 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed innovative AI solutions for healthcare and consumer electronics.
Led significant advancements in 2D-to-3D reconstruction technology.
Passionate about applying AI to solve real-world problems.

Stackforce AI infers this person is a skilled AI Engineer with expertise in healthcare and consumer electronics.

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Skills

Core Skills

Software DevelopmentRetrieval-augmented Generation (rag)Artificial Intelligence (ai)Natural Language Processing (nlp)Data Science

Other Skills

Agentic WorkflowsAugmented Reality (AR)C (Programming Language)Computer VisionData exploration toolsDeep LearningEmpathetic interactionsEngineeringFunction callingGaussian SplattingGraphical User Interface (GUI)Information TechnologyLarge Language Models (LLM)Machine LearningNeural Radiance Fields (NeRF)

About

In my current role at Samsung Electronics, I have developed innovative solutions such as a GenAI-powered journaling app and an on-device RAG solution for TV functionalities. I have also contributed to the development of an AI companion bot for dementia patients, using STM and LTM management for empathetic interactions. Previously, I was an AI Researcher at Data With D, where I led 2D-to-3D reconstruction innovations and developed a voice-driven e-commerce platform. I am always eager to learn new skills and explore new challenges in the field of AI. As an AI Researcher and Engineer, I have a passion for applying advanced AI technologies to solve real-world problems. I have worked on various projects that leverage cutting-edge techniques such as Neural Radiance Fields (NeRF), agentic workflows, and semantic routing to enhance user experiences and efficiency.

Experience

Innovaccer

SDE AI

Jun 2025 – Present · 10 mos · Noida, Uttar Pradesh, India · On-site

Developed a Code Debugger that improved autonomous pipeline debugging by 37%, integrating SQL validation and data exploration tools.
Integrated an MLflow evaluation framework into the Pipeline Debugger, optimizing AI agent precision and multi-agent collaboration.
Architected an intelligent automation system utilizing predictive analytics to enhance workflow reliability and reduce manual monitoring.

Software DevelopmentRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Agentic Workflows

Samsung electronics

NLP Engineer

Jan 2024 – Jun 2025 · 1 yr 5 mos · Delhi, India · On-site

Built a GenAI-powered journaling app using agentic workflows and semantic routing to enhance generation capabilities, offering personalized recommendations and future trip/event planning based on user timelines
Designed an on-device RAG solution with function calling to handle 50+ TV functionalities via user queries, enabling a hands-free experience. Presented a server-based demo using a SLM.
Developed an AI companion bot POC for dementia patients, leveraging STM and LTM management for empathetic interactions and memory-based routine reminders using MemGPT
Created a preprocessing pipeline to clean Confluence data for LLM pretraining, leveraging techniques from fineWeb and C4 for quality, deduplication, and repetition removal.
Led AI workshops on layer pruning, knowledge graph RAG, and multi-modal LLMs, fostering team learning and collaboration for the whole divison.

Artificial Intelligence (AI)Agentic WorkflowsNatural Language Processing (NLP)Data ScienceRetrieval-Augmented Generation (RAG)Large Language Models (LLM)

Data with d

AI Researcher

Jan 2023 – Dec 2023 · 11 mos

Spearheaded 2D-to-3D reconstruction innovations, reducing processing time from 3 weeks to 100 minutes using Neural Radiance Fields (NeRF).
Integrated real-time synthesis with SNeRG on WebXR, achieving a 98% reduction in manual effort.
Enhanced rendering quality by 30% using Gaussian splatting and Instant-NGP for accurate scene reconstruction and superior visual fidelity.
Developed a voice-driven e-commerce platform on ONDC, leveraging LLMs, RAG, and function calling for seamless hands-free shopping experiences.
Focused on applying advanced AI research to practical challenges, delivering efficient, user-centric solutions.
Contributed to advancements in deep learning and AI technologies through innovative projects.

Artificial Intelligence (AI)Data ScienceNeural Radiance Fields (NeRF)Gaussian SplattingDeep LearningComputer Vision