I am an accomplished AI Scientist and Analytics Professional with a combined 7 years of consulting, R&D, and product management experience across finance, medtech, robotics, IoT sensors, and environmental sectors. I specialize in hands-on development of machine learning products, translating complex data into impactful business insights, and managing C-level stakeholders. My strengths include setting AI/ML strategy and leading teams in the research and deployment (CI/CD, monitoring pipelines) of AI solutions in a secure, robust, and unbiased manner. I am proficient in machine learning, including LLMs, RAG, AI Agents, and utilizing libraries like langchain, stable baselines3, chromadb, scikit-learn, RLlib, PyTorch, pytest, pandas, ggplot, and TensorFlow. I have a proven ability to design and implement end-to-end solutions in cross-functional settings, ensuring alignment with business needs.…

Rishabh Ambwani

I am an accomplished AI Scientist and Analytics Professional with a combined 7 years of consulting, R&D, and product management experience across finance, medtech, robotics, IoT sensors, and environmental sectors. I specialize in hands-on development of machine learning products, translating complex data into impactful business insights, and managing C-level stakeholders. My strengths include setting AI/ML strategy and leading teams in the research and deployment (CI/CD, monitoring pipelines) of AI solutions in a secure, robust, and unbiased manner. I am proficient in machine learning, including LLMs, RAG, AI Agents, and utilizing libraries like langchain, stable baselines3, chromadb, scikit-learn, RLlib, PyTorch, pytest, pandas, ggplot, and TensorFlow. I have a proven ability to design and implement end-to-end solutions in cross-functional settings, ensuring alignment with business needs.…

Available to hire

I am an accomplished AI Scientist and Analytics Professional with a combined 7 years of consulting, R&D, and product management experience across finance, medtech, robotics, IoT sensors, and environmental sectors. I specialize in hands-on development of machine learning products, translating complex data into impactful business insights, and managing C-level stakeholders. My strengths include setting AI/ML strategy and leading teams in the research and deployment (CI/CD, monitoring pipelines) of AI solutions in a secure, robust, and unbiased manner. I am proficient in machine learning, including LLMs, RAG, AI Agents, and utilizing libraries like langchain, stable baselines3, chromadb, scikit-learn, RLlib, PyTorch, pytest, pandas, ggplot, and TensorFlow. I have a proven ability to design and implement end-to-end solutions in cross-functional settings, ensuring alignment with business needs.

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Skills

Experience Level

Data Science
Expert
Python
Expert
AI Chatbot
Expert
PyTorch
Expert
Data Visualization
Expert
R
Expert
SQL
Expert
TensorFlow
Expert
Docker
Expert
Power BI
Expert
AWS
Intermediate
Google Cloud
Intermediate
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Work Experience

Lead AI Engineer at IFSC Consulting (Simpple AI)
August 1, 2021 - Present
Leading a 4-member ML team to build intelligent facility management platforms using IoT sensor data and organizational systems. Key achievements include clustering facilities using algorithms for actionable insights, building LLM-powered chatbots leveraging OpenAI and Agentic AI frameworks, applying fine-tuning methods like LORA and QLORA to automate customer interactions, exploring various retrieval strategies, developing foot-traffic forecasting using time series models like Prophet, ARIMA, LSTM, and implementing predictive maintenance using anomaly detection and regression models. Actively collaborate with product, software, and sales teams while mentoring junior staff.
Data Scientist at Panasonic Research & Development Center Singapore, Life Sciences Division
April 30, 2021 - July 22, 2025
Developed classification models with anomaly detection for sleep quality prediction and health monitoring, built time series models to forecast particulate matter for HVAC optimization using IoT sensor data, performed statistical diagnostic analysis using tests to validate device functionality and model performance.
Business Analyst at Deloitte Consulting - Strategy & Operations, Finance Transformation Team
November 30, 2019 - July 22, 2025
Managed more than 6 projects in advanced analytics and 3 projects in process transformation and market research. As a core team member for sales reporting and advanced sales analytics, cleaned data using R, applied forecasting models, created visualization and reporting tools in Power BI, designed finance dashboards for accounts payables and receivables, automated expense reporting using NLG tools reducing employees' FTE hours, and identified investment opportunities for a Japanese venture capitalist through market assessment and statistical analysis.
Associate at Great Eastern Financial Services – Center For Excellence, Singapore
April 30, 2017 - July 22, 2025
Engaged in AI engineering and analytics tasks, cleared M9 and M9A exams, contributed to finance sector projects.
Lead AI Scientist at IFSC Consulting (Simpple AI)
August 1, 2021 - Present
Leading a 4-member ML team in building intelligent facility management platforms using IoT sensor data and organizational systems to ensure scalable and robust AI deployment. Key contributions include clustering facilities for actionable insights, building LLM-powered chatbots with OpenAI and Agentic AI frameworks using fine-tuning methods (LORA, QLORA, RLHF), experimenting with retrieval strategies for custom RAG development, workforce scheduling and task prioritization using reinforcement learning and time series forecasting, and creating predictive maintenance systems through anomaly detection and regression models. Collaborate cross-functionally with product, software, and sales teams while mentoring junior data scientists and analysts.
Data Scientist at Panasonic Research & Development Center Singapore, Life Sciences Division
April 1, 2021 - August 5, 2025
Developed classification and regression models for sleep quality prediction including anomaly detection to monitor health indicators. Built time series models to forecast particulate matter pollution levels for HVAC optimization using IoT sensor data. Performed diagnostic statistical analysis to validate device functionality and model performance.
Business Analyst, Finance Transformation Team at Deloitte Consulting - Strategy & Operations
November 1, 2019 - August 5, 2025
Administered over 6 projects in advanced analytics and 3 projects in process transformation and market research. Managed dashboards for audit teams on risk analytics covering AML/KYC aspects. Core team member for sales reporting and advanced sales analytics using R and PowerBI for a global retail client. Designed finance dashboards in accounts payables and receivables. Automated expense reporting via NLG tools like Vphrase and Arria, reducing FTE hours significantly. Identified investment opportunities in home-shopping and e-commerce sectors through market assessment and statistical analysis.

Education

BSc at London School Of Economics (affiliated with SUSS, Singapore)
September 1, 2013 - September 30, 2016
M.Tech at National University Of Singapore
June 1, 2020 - July 31, 2021
Master Of Technology in Enterprise Business Analytics at National University Of Singapore
June 1, 2020 - July 1, 2021
Hadoop Certification at Indian Institute Of Hardware Technology
September 1, 2017 - January 1, 2018
BSc. (Honours) in Economics and Management at London School Of Economics (affiliated with SUSS, Singapore)
September 1, 2013 - September 1, 2016
Diploma in Management Studies at Singapore Institute Of Management
October 1, 2011 - March 1, 2013

Qualifications

Hadoop Certification
September 1, 2017 - January 31, 2018
Cleared M9, M9A exams
August 1, 2016 - April 30, 2017
M9, M9A Exams Cleared
January 11, 2030 - August 5, 2025
Hadoop Certification
September 1, 2017 - January 1, 2018

Industry Experience

Financial Services, Life Sciences, Consumer Goods, Energy & Utilities, Manufacturing, Healthcare
    paper Reinforcement Learning for resource optimisation

     Facility Optimiser: Workforce scheduling and task prioritization to prevent understaffing during peaks or idle time during
    lows. This has involved resource allocation using reinforcement learning (DQN, IRL etc.), statistical tests and
    developing foot-traffic forecasting capabilities using timeseries model like Prophet, ARIMA, LSTM

    paper Facility Companion

     Facility Companion: Building LLM-powered chatbots by leveraging OpenAI, Agentic AI frameworks to
    automate actionable insights, reporting, and internal processes leading to significant gains in efficiency and productivity.
     Employed fine-tuning methods like LORA, QLORA and RLHF techniques.
     Experimented and explored with different retrieval strategies, including information retrieval, nearest-neighbour searches,
    or knowledge graph-based retrievals to develop custom RAG

    paper Clustering Similar Buildings

    Grouping Similar Facilities: Grouped facilities of different size, area in different sectors using clustering algorithms to derive actionable insights for internal and external use

    paper Risk Analytics

    Equity trade and Risk Analytics-
    Use the tool to spot high potential trade and avoid risky securities

    Check the video of product 2 in the portfolio below
    https://www.twine.net/signin