Headline

Data Scientist | Python and Al Engineer | Cloud-Native & DevOps Integration | Expert in Python,SQL,Tableau, Kubernetes, HCI, Prometheus| Driving Predictive Automation & AlOps at Ravit Technologies | End-to-End ML Systems

About

I am a passionate Data Science professional with a solid foundation in Python, R, and SQL, and hands-on experience using Jupyter, RStudio, and PySpark for end-to-end analytics and modeling workflows. I hold an M.Sc. in Data Science from the Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), where I honed my skills in data preprocessing, feature engineering, recommendation systems, computer vision and machine learning algorithms.​ Impactful projects delivered: I built a product recommendation system for Myntra that achieved 92% accuracy using Singular Value Decomposition (SVD) and created a custom GenAI chatbot with Hugging Face Transformers to enhance interaction quality and user experience. I also tackled real-world problems such as employee retention prediction and other ML use cases with a strong focus on measurable outcomes.​ Leveraged communication and scalability: My experience in content development and editorial roles sharpened my attention to detail and ability to explain complex ideas clearly. I build scalable solutions on cloud platforms and align business needs with robust, data-driven approaches.​ I am actively seeking opportunities to drive data-driven decision-making, advance AI innovation, and contribute to high-impact products in dynamic, growth-focused environments.

Location

Bengaluru

AI stack

cursor

langchain

langgraph

n8n

ollama

huggingface

Work experience

Python and AI engineer at Ravit Technologies Pvt. Ltd., Jun 2025 - Present · 1 yr 5 mos, Ahmedabad, Gujarat, India, ◦ Designed and implemented AI/ML capabilities for GoldenRay cloud-native orchestration and virtualization platform, enabling predictive automation, anomaly detection, and intelligent decision-making. ◦ Built a telemetry monitoring pipeline for GoldenRay's GPU and storage infrastructure using eBPF and Prometheus, tracking temperature, utilization, response time, and frequency metrics in real time. ◦ Trained an LSTM autoencoder on historical telemetry sequences to detect early-warning anomaly patterns and forecast potential GPU/storage faults before overuse or crash conditions occurred. ◦ Combined statistical/threshold-based baselining with the LSTM model to trigger tiered alerts via Prometheus Alertmanager and email webhooks, notifying clients ahead of failures. ◦ Used OpenTelemetry to correlate anomaly events with task IDs for root-cause investigation of crash triggers, and used this analysis to recommend compute/storage sizing for future task scalability. ◦ Built Python-based REST APIs (FastAPI) for GoldenRay, a hyperconverged infrastructure (HCI) platform unifying storage, compute, networking, VM provisioning, and authentication/authorization (RBAC) on a single platform, with independent backend services per component communicating to provision fully working client instances, including OS image-based VM deployment. ◦ Documented and tested all APIs using Swagger/OpenAPI, and implemented validation and exception-handling checks to preserve code integrity and enforce quality standards across services. ◦ Collaborated with cross-functional engineering, DevOps, and platform teams to integrate these systems into DevOps workflows and Kubernetes environments.

Summer Trainee at Intel, May 2024 - Jul 2024 · 3 mos, Bengaluru, Karnataka, India, CPU inferencing and fine-tuning of LLM to create a Custom GenAI Chatbot: ◦ Fine-tuned a transformer-based LLM on domain-specific datasets using Hugging Face and PyTorch to build a task-specific Q&A chatbot. ◦ Optimized response accuracy by engineering custom prompts and embedding models for better retrieval on context-heavy inputs. ◦ Delivered a fully self-serve chatbot capable of real-time interaction, demonstrating applied NLP pipeline understanding and deployment.

Data Scientist at eVitalRx, Jan 2024 - May 2025 · 1 yr 5 mos, Ahmedabad, ◦ Search by Invoice: Developed an automated system using the Gemini API to extract medicine details from invoices, achieving 98% accuracy in recognizing product names and quantities. Validated data against the InvoiceItem schema for complete field integrity and deployed the /pillo/search by invoice API endpoint, reducing the manual search time by 90%. ◦ Footfall Count: Implemented an AI-driven system that uses computer vision to monitor and analyze customer footfall in the pharmacy. Processed video feeds to accurately count visitors, providing insight into customer behavior, and supporting resource allocation and marketing strategies. ◦ Entity Tagging System: Designed and integrated a database tagging system to categorize entities such as products, suppliers, and customers, facilitating efficient data retrieval and management for more organized information storage. ◦ Developed an inventory optimization model to classify medicines as understocked, overstocked, or satisfactorily stocked products using sales patterns, stock velocity, and chemist purchase behavior, while integrating probabilistic inventory analysis and risk tolerance models. ◦ Implemented a similarity-based recommendation system leveraging sales data, geographical location, and salt content analysis, while exploring Big Data solutions (Hadoop, PySpark) and auto encoders to enhance large-scale pharmaceutical data processing

Research Analyst at Paperpedia Pvt Ltd., Dec 2022 - Oct 2023 · 11 mos, ◦ Designed and maintained data pipelines for collecting, cleaning, validating, and integrating large-scale datasets from multiple sources, enabling reliable analytics and reporting. ◦ Applied statistical analysis, forecasting techniques, and exploratory data analysis (EDA) to identify trends, generate insights, and support business decision-making. ◦ Developed interactive Power BI dashboards and KPI monitoring systems, providing real-time visibility into key business metrics for stakeholders. ◦ Automated reporting and data-processing workflows using SQL, R, Excel, and Power Query, improving data quality, operational efficiency, and reporting accuracy.

Jr Research Analyst at Paperpedia Pvt Ltd., Aug 2022 - Nov 2022 · 4 mos

Content Associate at Unacademy, Jan 2022 - Jul 2022 · 7 mos, Bengaluru, Karnataka, India, Thoroughly reviewed and validated mathematics and statistics content for a variety of courses to be published on the Unacademy platform, ensuring conceptual clarity and alignment with educational objectives. Maintained strict adherence to deadlines while delivering work of high accuracy and quality, contributing to the overall reliability and effectiveness of the course material.

Education

Master of Science - MS, Data science, Dhirubhai Ambani University

Master's degree, Applied Mathematics, Central University of Jharkhand

Public links

github: https://github.com/JKS189