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I am an innovative AI/ML Engineer with expertise in Generative AI, Large Language Models, MLOps, and deep learning. I specialize in developing and deploying AI-driven automation solutions that significantly enhance efficiency by reducing manual effort by over 90%, saving thousands of man-hours. My passion lies in building AI applications across natural language processing, predictive analytics, and computer vision domains using cutting-edge technologies. I am committed to translating AI research into real-world, impactful business solutions that drive innovation.…I am an innovative AI/ML Engineer with expertise in Generative AI, Large Language Models, MLOps, and deep learning. I specialize in developing and deploying AI-driven automation solutions that significantly enhance efficiency by reducing manual effort by over 90%, saving thousands of man-hours. My passion lies in building AI applications across natural language processing, predictive analytics, and computer vision domains using cutting-edge technologies. I am committed to translating AI research into real-world, impactful business solutions that drive innovation.

Lalit Wale

AI Engineer, Data Scientist, Developer, +3

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I am an innovative AI/ML Engineer with expertise in Generative AI, Large Language Models, MLOps, and deep learning. I specialize in developing and deploying AI-driven automation solutions that significantly enhance efficiency by reducing manual effort by over 90%, saving thousands of man-hours. My passion lies in building AI applications across natural language processing, predictive analytics, and computer vision domains using cutting-edge technologies. I am committed to translating AI research into real-world, impactful business solutions that drive innovation.…I am an innovative AI/ML Engineer with expertise in Generative AI, Large Language Models, MLOps, and deep learning. I specialize in developing and deploying AI-driven automation solutions that significantly enhance efficiency by reducing manual effort by over 90%, saving thousands of man-hours. My passion lies in building AI applications across natural language processing, predictive analytics, and computer vision domains using cutting-edge technologies. I am committed to translating AI research into real-world, impactful business solutions that drive innovation.

Available to hire

I am an innovative AI/ML Engineer with expertise in Generative AI, Large Language Models, MLOps, and deep learning. I specialize in developing and deploying AI-driven automation solutions that significantly enhance efficiency by reducing manual effort by over 90%, saving thousands of man-hours.

My passion lies in building AI applications across natural language processing, predictive analytics, and computer vision domains using cutting-edge technologies. I am committed to translating AI research into real-world, impactful business solutions that drive innovation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Machine Learning Engineer at True Choice Pack

April 30, 2025 - July 18, 2025

Minimized document review time drastically by developing a Gen AI-based Retrieval-Augmented Generation (RAG) summarizer using FAISS for semantic search and LangChain for LLM implementation, enabling automated Q&A and customizable insights. Reduced manual work by 90% by building a procurement analysis app with Python, Pandas, Streamlit, and OpenPyXL for supplier data, providing cost and dimensional analysis to optimize retail strategies. Automated web scraping of product specifications and pricing via an AI-powered crawler.

Machine Learning Engineer at Procter and Gamble

January 31, 2024 - July 18, 2025

Saved an estimated 6,400 man-hours annually by deploying an AI software solution automating and standardizing the regulatory dossier creation process in Latin America. Architected app to extract unstructured PDF data using OCR, summarize with LangChain and HuggingFace, and fine-tuned quantized LLMs with PEFT and LORA for contextual accuracy on business data. Integrated Mlflow for model training, monitoring, and deployment, leveraging Pandas for structured data manipulation. Ensured scalability and reliability through continuous deployment pipelines using Docker, Jenkins, and AWS.

Data Analyst at Procter and Gamble

August 31, 2022 - July 18, 2025

Reduced exploratory data analysis time by 50%, including process selection, visualization, and outlier detection with NumPy, Pandas, and Matplotlib, improving decision-making efficiency as reported by 80% of users. Developed an internal Python and Streamlit platform for interactive data analytics that fostered cross-sector collaboration across retail, pharmaceutical, and healthcare domains to streamline workflows and provide actionable insights.

Machine Learning Engineer at True Choice Pack

April 1, 2025 - August 20, 2025

Developed a Generative AI-based Retrieval-Augmented Generation summarizer using FAISS for semantic search and LangChain for large language models, minimizing document review time from 2 days to around 5 minutes and enabling automated Q&A with customizable insights. Created a procurement analysis app to cut 90% of manual work, analyzing supplier data with Python, Pandas, Streamlit, and OpenPyXL to optimize retail strategies. Automated scraping of product specifications and pricing using an AI-powered web crawler.

Machine Learning Engineer at Procter and Gamble

January 1, 2024 - August 20, 2025

Deployed an AI-powered software solution in Latin America automating and standardizing the regulatory dossier creation process for pharmaceutical product approvals, saving an estimated 6,400 man-hours annually. Designed architecture to extract unstructured data via OCR from PDFs, generated summaries with LangChain and HuggingFace, and fine-tuned a quantized LLM using PEFT and LORA on business data for improved accuracy. Integrated Mlflow for model management and established scalable deployment pipelines using Docker, Jenkins, and AWS.

Data Analyst at Procter and Gamble

August 1, 2022 - August 20, 2025

Reduced time for exploratory data analysis, process selection, visualization, and outlier detection by 50% using NumPy, Pandas, and Matplotlib, enhancing decision-making reported positively by 80% of users. Developed an internal platform using Python and Streamlit for interactive data analytics, promoting cross-sector collaboration across retail, pharmaceutical, and healthcare domains to streamline workflows and provide actionable insights.