Gautam J Email & Phone Number

Pune, Maharashtra, India

Pune, Maharashtra, India

• Engineered a FullStack Web Portal using Django Framework for secure user access. Implemented Microsoft Active Directory for secure login authentication. Deployed the portal on Azure Kubernetes Services (AKS) with SSL.
• Collaborated with the Customer Service Team to proactively reduce customer escalations. Implemented strategies resulting in a 50% reduction in average weekly escalation cases, from 20 to 10. Analyzed customer.
• Enhanced the response efficiency of the customer service chatbot, leading to a decrease in query service request (SR) rates. Implemented an ensemble of custom-trained ML models, extracting entities and controlling user.
• Established monthly data availability metrics, ensuring accountability and providing insights for strategic decision-making. Designed and implemented a PowerBI Dashboard for analysis of repeat customers.

• Cleaned and analyzed proprietary data consisting of resumes, skills, and experiences of candidates, resulting in a more efficient and accurate talent acquisition process.
• Used embeddings and similarity algorithms to cluster users according to their skills and match candidates to their best-suited career positions, resulting in a 40% increase in the number of qualified candidates.
• Generated synthetic data to solve the imbalance in data, removing major bias and ensuring a more fair and equitable hiring process, leading to a 20% increase in diversity and inclusivity in the workplace.

Chennai, Tamil Nadu, India

• Mastered supply chain management, including shipping and logistics, through intensive on-the-job training.
• Conducted extensive research on digital pillars for Outbound Logistics, and recommended low-cost technologies that could improve the efficiency of the logistics process.
• Spearheaded technological advancements, such as automatic data capturing using computer vision, resulting in a 50% reduction in manual labor, leading to significant cost savings and increased profitability for the plant.
• Optimized transportation efficiency by developing a real-time tracking system using transporter APIs, enabling the calculation of turnaround time of trucks from plant entry to exit.
• Designed digital twin technology, providing a real-time AI-powered simulation of the current process, leading to enhanced performance and productivity for the plant.

Chennai, Tamil Nadu, India

• Architected a healthcare repository by applying cutting-edge methodologies, resulting in a centralized data management system that reduced data processing time by 30%, leading to a more efficient decision-making process.
• Engineered a unified format for historical patient data collection, leveraging advanced techniques, resulting in a 50% reduction in data entry errors, leading to more accurate diagnoses and treatment plans for patients.
• Utilized AWS-powered networked databases to serve patient data to doctors, streamlining the healthcare delivery process, and improving patient outcomes.

Chennai, Tamil Nadu, India

• Reviewed and recruited ML talent based on their project work, resulting in a 20% increase in hiring rate and successful onboarding of 5 new members for ML domain.
• Delivered a comprehensive 5-hour session on Backend API Development using Node.js and Express.js to an audience of 300, resulting in a 90% satisfaction rate and positive feedback on the practical aspects of the training.

Chennai, Tamil Nadu, India

• Negotiated and implemented industry standard approaches for OCR problems, achieving a 20% increase in accuracy using Open Source models provided by Google.
• Designed and implemented a pipeline for Exploratory Data Analysis, which resulted in a 80% reduction in time taken for data cleaning and processing.
• Built an API to parse JSON Web Token and store the parsed data in MongoDB. Successfully processed over 1000 API requests with an average response time of 50ms.

Chennai, Tamil Nadu, India

• Conducted over 20 technical interviews and provided feedback resulting in the successful hiring of 5 candidates for Machine Learning and Web Development roles.

Chennai, Tamil Nadu, India

• Developed a Multivariate Gaussian Distribution model for anomaly detection with 98% accuracy, identifying equipment malfunctions before they cause damage.
• Used the models for Predictive Maintenance of equipment in University's Fabrication Laboratory, reducing equipment downtime by 30% and increasing productivity by 20%.

Chennai, Tamil Nadu, India

• Built a hand gesture recognizing model capable of identifying 4 common hand signs with an accuracy of 95% on a validation dataset of 10,000 images.
• Fine-tuned a MobileNetv2 for high accuracy of 95% and low latency performance on edge devices, achieving an inference time of 20 milliseconds per image on a Raspberry Pi.

Chennai, Tamil Nadu, India

• Collaborated on a Next.js and Tailwind CSS powered club website with dynamic content through RESTful API. Implemented MongoDB and Azure BlobStorage to support media files, resulting in a 30% increase in website traffic.
• Built the backend for the “Test Paper Generator” application, achieving a question generation F1 Score of 0.85 on SQuAD dataset. The application successfully generated over 500 unique test papers for students within.
• Reviewed CVs and interviewed more than 20 candidates, resulting in hiring 11 highly skilled individuals in the Machine Learning and Deep Learning domain.
• Organized and managed a 48-hour hackathon, receiving over 600 registrations from participants worldwide. The hackathon resulted in 50 innovative projects, with the top 3 projects being featured in the club's website.

Chennai, Tamil Nadu, India

• Trained an FAQ chatbot that uses a transformer-based neural network, achieving an accuracy rate of 90% on test data. The chatbot successfully handled over 500 queries within the first month of deployment.
• Developed a sleek and intuitive registration portal using React.js and vanilla CSS that improved user registration rates by 40%.

Chennai, Tamil Nadu, India

• Developed a light-weight CNN architecture for detecting smiles, achieving an accuracy rate of 95% on a benchmark dataset. Deployed the model on Android and iOS devices, resulting in a 30% increase in user engagement.
• Built a real-time, dynamically updating landing page for an event, reducing page load time by 50% and increasing conversion rates by 20%.
• Interviewed and assessed the technical skills of 50 candidates, resulting in a 90% hiring success rate. Conducted group discussion sessions and provided coding-related training, resulting in a 50% increase in candidate.
• Conducted a 4-hour long practical session on Git and Github for an audience of 50, receiving a 95% satisfaction rating from attendees.
• Organized an offline ideathon, mentoring and judging 10 teams with an overall participant count of over 30.

Chennai, Tamil Nadu, India

• Created a fashion recommendation app by cleaning and fine-tuning a MobileNetV3 model using Flask. Achieved 90% accuracy on classification of different clothing attires. Delivered personalized recommendations based on.
• Developed a fish detection system using YoloV5 models trained on underwater camera data. Achieved 85% mAP on detection of different types of fish. Conversion of model to Nvidia DeepStream format resulted in a 50%.
• Trained YoloV5 models for detecting different types of fish, using an underwater camera. Preprocessed the dataset, treating class imbalance issues and noisy labels. Converted the trained model weights to Nvidia.
• Built an autonomous system for detecting unsafe factory behaviors. Achieved 90% accuracy in detecting worker and equipment behaviors in ROI, leading to a 50% reduction in safety incidents.

Bachelor Of Technology - Btech, Artificial Intelligence, 9.3/10

Education record