Pushpendra Neniwal — AI Researcher

Experienced Data Scientist with 7+ years in ML/DL, NLP, and optimization. Proficient in LLM frameworks like LangChain and LlamaIndex, as well as Generative AI using open-source and proprietary models. Specializes in Advanced Retrieval Augmented Generation (RAG), Responsible AI, Green AI and implementing NVIDIA NeMo guardrails for security and safety. Skilled in LLM evaluation metrics such as text quality, diversity, and semantic similarity and experienced with NVIDIA Blueprint for scalable AI deployments and NVIDIA NIM for model training and management. Expert in mitigating prompt injection attacks and optimizing LLMs to deliver actionable insights and innovative solutions for business challenges. CORE EXPERTISE: Generative AI, Responsible AI, Green AI, NVIDIA, NIM, Natural language Processing, Deep Learning, Machine Learning, Data Science, Computer Vision, Python Key Skills and Expertise: - Experience in end-to-end data science project execution, from data exploration and preprocessing to model development and deployment. - Build and deploy RAG pipelines with foundation models and embeddings for efficient information retrieval. - Secure AI models with NVIDIA NeMo Guardrails and optimize deployments using NVIDIA Blueprint on A100 GPUs. - Proficient in applying advanced predictive modeling techniques, such as regression, classification, and clustering, to generate accurate predictions and uncover patterns in diverse datasets. - Strong command of data processing techniques, including cleaning, transforming, and feature engineering, to ensure high-quality data for analysis and modeling. - Expertise in computer vision tasks, such as object detection, image classification, and image segmentation, utilizing deep learning frameworks like TensorFlow. - Skilled in natural language processing (NLP) tasks, including sentiment analysis, text classification, and information extraction, utilizing techniques such as word embeddings and recurrent neural networks. - Scomolid knowledge of data mining algorithms and statistical analysis to extract valuable insights and identify actionable trends from complex datasets. - Proficient in programming languages like Python, with experience in libraries and frameworks like scikit-learn, Keras, and NLTK. - Proven ability to collaborate with cross-functional teams, understand business requirements, and develop data science solutions that drive measurable impact.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on healthcare applications.

Location: Noida, Uttar Pradesh, India

Experience: 7 yrs 6 mos

Skills

Generative Ai
Natural Language Processing
Machine Learning
Data Science

Career Highlights

7+ years of experience in ML/DL and NLP.
Expert in Generative AI and advanced RAG frameworks.
Proven track record in cross-functional collaboration.

Work Experience

Birlasoft

Generative AI Lead (1 yr)

Sopra Steria

Module Lead (2 yrs 9 mos)

Hindustan Projects and Engineering works

Data Scientist (3 yrs 9 mos)

Education

Master of Engineering (M.Eng.) at M.B.M. Engineering College, Jodhpur

Bachelor of Engineering - BE at M.B.M. Engineering College, Jodhpur

Pushpendra Neniwal

AI Researcher

Noida, Uttar Pradesh, India7 yrs 6 mos experience

AI ML PractitionerAI Enabled

Key Highlights

7+ years of experience in ML/DL and NLP.
Expert in Generative AI and advanced RAG frameworks.
Proven track record in cross-functional collaboration.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on healthcare applications.

Contact

Skills

Core Skills

Generative AiNatural Language ProcessingMachine LearningData Science

Other Skills

AI components designAgentsAmazon Web Services (AWS)AnacondaConvolutional Neural Networks (CNN)Data AnalysisDeep LearningExploratory Data AnalysisGenerative AI ToolsGoogle ColabInventory ManagementJupyterKaizenLangChainLarge Language Models (LLM)

About

Experience

Birlasoft

Generative AI Lead

Mar 2025 – Present · 1 yr · Noida, Uttar Pradesh, India · Hybrid

I am a seasoned Generative AI Engineer with over 7 years of hands-on experience in developing advanced AI, NLP, and data science solutions. My expertise lies in architecting and implementing intelligent systems that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and enterprise-grade NLP pipelines.
Responsible for designing modular, reusable, and configurable AI components, focusing on intelligent document processing and domain-specific chatbot workflows.
Collaborating with cross-functional teams including data scientists, product owners, and cloud architects to deliver production-ready AI capabilities.
Leading the development of an AI-powered platform that automates the extraction and transformation of data from complex pharmaceutical and clinical documents (PDFs).
Integrated predefined QA datasets to fine-tune document understanding and improve the performance of the system in high-precision medical use cases.
Enabled an agentic AI system that auto-selects the most appropriate questions for assessment and generates human-like answers based on retrieved context.
Developed custom configurations to allow administrators to manage question set sizes, pronunciation adjustments, and assessment flows dynamically.

Generative AINLPRAG frameworksAI components designcross-functional collaborationNatural Language Processing

Sopra steria

Module Lead

Jun 2022 – Mar 2025 · 2 yrs 9 mos · Noida, Uttar Pradesh, India · Hybrid

Experience in end-to-end data science project execution, from data exploration and preprocessing to model development and deployment.
Proficient in applying advanced predictive modeling techniques, such as regression, classification, and clustering, to generate accurate predictions and uncover patterns in diverse datasets.
Proficient knowledge of Large Language Model (LLM) Framework, Generative AI, Langchain.
Strong command of data processing techniques, including cleaning, transforming, and feature engineering, to ensure high-quality data for analysis and modeling.
Expertise in computer vision tasks, such as object detection, image classification, and image segmentation, utilizing deep learning frameworks like TensorFlow.
Skilled in natural language processing (NLP) tasks, including sentiment analysis, text classification, and information extraction, utilizing techniques such as word embeddings and recurrent neural networks.
Good knowledge of data mining algorithms and statistical analysis to extract valuable insights and identify actionable trends from complex datasets.
Proficient in programming languages like Python, with experience in libraries and frameworks like scikit-learn, Keras, and NLTK.
Strong data visualization skills using tools such as Tableau and Matplotlib to effectively communicate complex findings to stakeholders.
Proven ability to collaborate with cross-functional teams, understand business requirements, and develop data science solutions that drive measurable impact

data science project executionpredictive modelingdata processing techniquescomputer visionNLP tasksMachine Learning+1

Hindustan projects and engineering works

Data Scientist

Sep 2018 – Jun 2022 · 3 yrs 9 mos · Rajasthan, India · Remote

With over 3+ years of research-oriented experience in Mechanical Design and analysis and 3+ years of experience in Data Science and Machine Learning, I bring expertise in developing and deploying machine learning algorithms. Currently working as a Machine Learning Engineer, I am deeply passionate about my role and emerging technologies. My interests lie in exploring innovative use cases and real-world applications of AI, driving advancements in the field.
I aspire to contribute to cutting-edge product development projects as a Machine Learning Architect, Developer, or Engineer. I am goal-oriented, adept at time and project management, and have a proven track record of collaborating effectively across cross-functional teams.

machine learning algorithmsdata scienceproject managementMachine LearningData Science