AI & Data Consultant

Jan'22 - Present

Freelancing Clients (Europe, APAC region)

Major Projects

Object Detection + Visual SLAM - Robotics

• Developed a custom training pipeline for YOLOv8 instance segmentation to achieve high accuracy in real-time object detection tasks
• Implemented a robust data preprocessing pipeline to prepare input data for YOLOv8 instance segmentation, including image augmentation and normalization techniques
• Performed extensive testing and validation of YOLOv8 instance segmentation model across various environmental conditions and lighting scenarios
• Optimized YOLOv8 model hyperparameters and architecture for efficient inference on embedded systems
• Designed and implemented an adaptive thresholding mechanism in YOLOv8 to dynamically adjust detection thresholds based on scene complexity and noise levels
• Integrated YOLOv8(nano) model with ORB-SLAM to leverage object detection information for dynamic object masking and localization refinement
• Implemented a real-time visualization module to overlay YOLOv8 object detection results onto ORB-SLAM's visual map for comprehensive scene understanding

LLM RAG Project - Retail

• Developed RAG applications for inventory management to ensure sufficient product stock for business operations

Breach Analytics & Reporting Project- Healthcare

• Provided consultancy services to develop analytics and reporting systems for enabling faster treatment responses
• Suggested changes on hospital applications to enhance the Data Integrity of the hospital processes to zero down the treatment breaches

Data Retrieval and Storage Project - Manufacturing

• Developed a data retrieval and storage system to manage diverse data sources efficiently
• Designed and implemented a polyglot data retrieval solution to handle structured and unstructured data
• Enhanced data accessibility and usability, enabling seamless analysis across disparate datasets

Time Series (Temporal) Data Analytics Project - Retail

• Developed advanced analytics models to predict future sales trends and detect anomalies
• Implemented machine learning algorithms for time series forecasting and anomaly detection

Mentor - UK Students

• Mentored 15+ Master UK thesis projects in the fields of Artificial Intelligence, Machine Learning, Data Analytics, and Data Management in the past 2 years

AI Architect

Aug'22 - Present

Digital Assets & Transformation Solutions LLP, UK

• Supervised and architected the development of the AI pipeline, aligning with the principles of Cloud and Data architecture
• Collaborated with clients and stakeholders to deliver customized AI solutions, and drive successful sales initiatives for new AI projects.
• Led a team of computer vision engineers, data scientists, and full-stack software engineers to incorporate industry best practices in project management.
• Mentor junior AI Engineers with technical guidance to ensure their work aligns with company policies and support their professional development
• Developed an LLM application for Full Stack Developers, expediting their development process and resulting in a 50% reduction in the Agile SDLC timeline
• Shipped AI Models faster through streamlined MLOPS processes
• Performed rigourous data validation to increase the model accuracy and maintain the data quality
• Optimised latency and throughput of AI Models for stable AI application
• Implemented polyglot data persistence solutions to streamline data accessibility and enhance usability across various platforms such as on-premise and cloud
• Reduced deployment time by 40% through the implementation of CI/CD pipelines, improving operational efficiency. Hence, minimizing downtime and ensuring reliable AI model deployment
• Improved data lineage visibility, enabling stakeholders to make informed decisions
• Designed a Causal Analysis framework to assess the value generated by the Smart City program's impact
• Engineered and implemented predictive analytics solutions using LSTM autoencoder technology within an Intelligent Traffic Management System (ITMS) to forecast future traffic trends and detect anomalies, enabling robust proactive planning and optimization of traffic flow.
• Delivered data models aligned with business requirements, resulting in data-driven decision-making
• Implemented a comprehensive backup strategy and disaster recovery management plan to safeguard the AI project's data integrity and ensure seamless continuity in the event of unforeseen disruptions or system failures

Data Associate

Mar'21 - Aug'22

Amazon, UK

Productivity Project

• Automated the report generation pipeline to monitor the associates productivity on the AWS platform, integrating data from various organizational resources.
• Implemented a pipeline that delivers productivity reports directly to Area Managers twice daily via email, resulting in a 50% reduction in report generation time and ensuring timely monitoring of associate productivity.

Safety Project

• Lead the development of an Automated Safety Ticketing System
• Optimised the Data Capture Pipeline that enriched the frontend user experience to empower the downstream applications thus ensuring data quality.
• Built a multi-region serverless scalable automated Safety Incident application, leading to expedited resolution of safety concerns within Amazon Warehouses from 24 hours to less than 5 hours for low-priority ticket SLAs.
• Developed an optimised AI BERT Model to perform the automatic classification of safety incident tickets raised by the associates.
• Deployed a serverless Container AI Model reducing the hosting cost and average deployment times by 65%.
• Performed Inventory Control and Quality Assurance of assortments, ensuring accuracy and compliance.

Analytics Consultant

Oct'16 - Dec'20

Lakshmi Retails, India

Sales Optimization

• Utilize limited historical data to conduct statistical analysis, thereby optimizing sales strategies and improving overall performance
• Implemented the Pareto Principle to prioritize efforts and resources towards achieving sustained quality sales, ensuring maximum return on investment

ITIL (ITSM) Integration

• Incorporated the ITIL (IT Service Management) framework into sales processes, delivering value-added services alongside products to enhance customer satisfaction and retention

Value-Added Services

• Successfully achieved a 30-40% increase in profit margins by effectively selling value-added services to customers, thereby driving revenue growth and enhancing business profitability

Data Visualization and Analysis

• Leveraged TABLEAU to visualize and analyze sales data, identifying patterns and trends to inform strategic decision-making and increase sales effectiveness

Profit Optimization in FMCG/CPG

• Delivered an average profit margin of 30% in 2018 through strategic sales initiatives focused on Fast-Moving Consumer Goods (FMCG), Consumer Packaged Goods (CPG), and Stationery Items, demonstrating a strong understanding of market dynamics and customer preferences

Project Outsourcing - POS Integration

• Directed the seamless connection of Point of Sale (POS) machines to MySQL database for transactional processing
• Implemented and managed the integration process, ensuring real-time and accurate transmission of POS data to the MySQL database
• Oversaw transactional processing, guaranteeing the integrity and reliability of data for efficient analysis and decision-making
• Enabled streamlined operations by facilitating direct communication between POS machines and the MySQL database, optimizing transactional efficiency

Consultant - Oracle Database and Infrastructure Administrator

Jun'14 - Feb'16

Tata Consultancy Services, India

• Performed day-to-day activities of DBA in Oracle Database Environment
• Created users and managed roles using DDL, and DCL operations by following IDRMS (Integrated Datafix Request Management System) process in the production environment
• Performed DML, and TCL operations during weekly Database Change Request(DBCR) activities
• Performed Exploratory Data Analysis (EDA) using Oracle SQL Statistical functions
• Performed visualization of OLAP and OLTP data using Oracle Business Intelligence Enterprise Edition (OBIEE).
• Derived Insights and generated reports using Oracle Data Miner (ODM) software
• Performed data integrity analysis during export & import operations, after an ETL and Data Warehouse operations with the help of Oracle SQL analytical functions and Oracle SQL Developer
• Performed SQL Tuning in Oracle Database using SQL*plus and Oracle Enterprise Manager(OEM)
• Incorporated better Data Abstraction by creating views and materialized views
• Performed SQL Refactoring for time-consuming queries in the production database
• Incorporated critical ITIL(ITSM) processes like Event Management, Incident Management, Problem Management, Change Management, and Access Management to provide seamless data availability
• Created Oracle Environmental documentation and provided Knowledge Transfer (KT) sessions for entry-level DBAs
• Generated weekly and monthly reports using the IDRMS tool, MS Excel, and MS PowerPoint to update the onsite DBAs and Database Architects about the database activities and escalations
• Improved Database performance by 20%-30% by doing refactoring of SQL queries fired by the application or batch user
• Automated repetitive DBA alerts and tasks using weekly auditing in coordination with the ITIL team and cross-functional teams

Data Science Researcher | Centre for Computational Science and Mathematical Modelling

Sep'21 - Mar'22

Coventry University

• Performed research to develop an efficient ML model for identifying Chemical Reaction Network (CRN), focusing on binary classification using state-of-the-art algorithms and comparing methodologies to determine optimal models.
• CRN are used for micro-organism study and Drug Discovery process.
• Research is part of Computational Biology - Healthcare Domain
• Research Synopsis