Hari Krishna Sai Durga Prasad Naralasetty

AI Researcher

India4 yrs 8 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Expert in Generative AI and Machine Learning solutions.
  • Led initiatives achieving significant performance improvements.
  • Strong foundation in LLMs and NLP for scalable AI systems.
Stackforce AI infers this person is a SaaS-focused AI Engineer with expertise in Generative AI and Machine Learning.

Contact

LinkedIn

Skills

Core Skills

Large Language Models (llm)Data ScienceGenerative AiNatural Language Processing (nlp)Machine LearningData VisualizationSoftware Development

Other Skills

AgentsAngularJSArtificial Intelligence (AI)C++CS FoundationData StructuresDatabasesExplainability FrameworkExpress.jsFine TuningFull-Stack DevelopmentGenerative Adversarial Networks (GANs)Image-conditioned AIJavaKubernetes

About

I’m an AI Engineer and Data Scientist passionate about building high-impact Generative AI and Machine Learning solutions that scale. With a strong foundation in LLMs, NLP, and Deep Learning, I specialize in creating intelligent systems that drive measurable business value. My expertise spans reinforcement learning (RLHF), MLOps, and multimodal AI, delivering AI that’s not only accurate but also efficient, explainable, and production-ready. At Turing, I focus on enhancing LLM performance using Reinforcement Learning from Human Feedback (RLHF) and advanced data science techniques. My work improves the reliability and alignment of GenAI models, directly contributing to the development of scalable AI systems deployed across global industries. I also design feedback loops and evaluation pipelines that boost language model robustness and trustworthiness. Previously at EdgeVerve Systems (Infosys), I led initiatives around Generative AI, NLP, and Multimodal AI-architecting real-world solutions like a 40% uplift in enterprise search via LLaMA + Vector Search and a 70% reduction in inference costs using image-conditioned AI tools. I also delivered a transparent RAG-based explainability framework that enhanced user trust by 80%, bridging the gap between AI and human-centric design. My technical toolkit includes Python, PyTorch, TensorFlow, Scikit-learn, LangChain, and Transformers, with deep experience deploying on AWS, GCP, and Azure. From fine-tuning LLMs to building robust pipelines and scalable APIs, I bring end-to-end ownership of AI/ML systems with strong attention to reproducibility, cost efficiency, and model performance. Let’s connect if you're interested in impactful AI systems, collaborative problem-solving, or just a good conversation about where GenAI is headed.

Experience

4 yrs 8 mos
Total Experience
1 yr 6 mos
Average Tenure
1 yr 9 mos
Current Experience

Turing

2 roles

Senior Data Scientist

Promoted

Apr 2025 – Present · 1 yr 1 mo · Palo Alto, California, United States · Remote

  • As a Senior Data Scientist, I lead a team of Data Scientists and continue to drive advancements in Large Language Model (LLM) engineering. My responsibilities include:
  • Managing and mentoring a team on day-to-day work.
  • Designing and engineering robust scripting frameworks that enable efficient integration and application of LLMs.
  • Building safe, intelligent, and ethically aligned Agentic-AI systems that perform reliably in real-world applications.
Large Language Models (LLM)Reinforcement Learning from Human Feedback (RLHF)Data Science

Data Scientist

Aug 2024 – Apr 2025 · 8 mos · Palo Alto, California, United States · Remote

  • Engineering Large Language Models (LLMs) to achieve superior performance, focusing on creating accurate, reliable, and responsive AI solutions. Key responsibilities include:
  • Leveraging advanced data analysis to extract actionable insights that enhance model precision.
  • Implementing Reinforcement Learning from Human Feedback (RLHF) to guide models toward clear, contextually relevant answers.
  • Proactively monitor and fine-tune LLM performance to ensure optimal application functionality and responsiveness.
Large Language Models (LLM)Reinforcement Learning from Human Feedback (RLHF)Data Science

Edgeverve

Product Engineer

Feb 2022 – Aug 2024 · 2 yrs 6 mos · Bengaluru, Karnataka, India · Remote

  • Built information retrieval solutions for contract analysis enabling accelerated decision-making with Generative AI and Machine Learning. Key contributions:
  • (Generative AI)
  • Enhanced search platform with LLaMa and Vector Search, reducing search time by 40%
  • Designed an Large Language Model (LLM) explainability system using RAG Triad analysis from TruLens, increasing user trust & understanding in AI insights for 80% of model decisions
  • Boosted GenAI accuracy by 20% by integrating a tool interface for LLMs.
  • Integrated data mining and knowledge extraction techniques to enhance information retrieval with multimodal capabilities using Whisper for audio, BLIP LAVIS for image, optimizing retrieval time by 80%
  • Enabled high-quality image-based advertisement creation by integrating GPU-accelerated Stable Diffusion from StabilityAI, reducing inference costs by 70%
  • Engineered vLLM, PyTorch with custom scripts to achieve 50% faster RAG inference
  • (Natural Language Processing)
  • Optimized fine-tuning Roberta models for contract information, reducing 60% search time, by applying advanced feature engineering and data cleaning techniques.
  • Developed automated model performance testing frameworks, reducing manual evaluation time by 95%.
  • Implemented knowledge-based tagging for model training, minimizing tagging time & effort by 60%.
  • Streamlined NLP workflow by 40% with a custom framework enabling rapid model iteration and data preprocessing.
  • Honored twice with the Stellar Game Changer Award (Q2 & Q3, 2024) for building multimodal retrieval (image, video, audio, text) capabilities into the EdgeVerve Platform enhancing search accuracy by 70% leveraging Machine Learning and Generative AI.
Generative AINatural Language Processing (NLP)Machine Learning

Freelance

Python Developer

Aug 2021 – Jan 2022 · 5 mos

  • Developed and deployed predictive machine learning models with compelling data visualizations for a university project, resulting in a 40% reduction in decision-making time.
  • Actively participated in tech communities and open-source projects to refine machine learning skills for real-world smart cities applications.
PythonMachine LearningData Visualization

Capgemini

Software Developer Intern

Jan 2021 – Apr 2021 · 3 mos · Remote

  • Optimized supply chain workflows using Salesforce, reducing order processing time by 30% and enhancing operational efficiency
  • Developed custom Apex triggers and integrations, leveraging knowledge of C++ and Java principles for object-oriented design and algorithm optimization.
SalesforceC++JavaSoftware Development

Education

KL University

Bachelor of Technology — Computer Science & Engineering (Artificial Intelligence specialisation)

Jul 2017 – May 2021

SARADA COLLEGE

Intermediate (12th)

Jan 2015 – Jan 2017

Nalanda Vidyaniketan

10th Grade

Jan 2015 – Present

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