Priyanshu Jain

AI Researcher

Bengaluru, Karnataka, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed AI-driven solutions achieving 85% accuracy.
Reduced response time by 33% through system optimization.
Created digital twins using advanced neural networks.

Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions and cloud infrastructure.

Contact

jainpriyanshu2982001@gmail.com LinkedIn

Skills

Core Skills

Data AnalyticsCloud ComputingSoftware DevelopmentMachine Learning

Other Skills

AnalyticsArtificial Intelligence (AI)Artificial Intelligence for DesignBuilding Information Modeling (BIM)Chatbot DevelopmentCloud InfrastructureComputer ScienceComputer VisionContinuous DeploymentCustomer SuccessData AnalysisData ArchitectsData LoadingData ScienceData Visualization

About

Innovative AI Engineer with a strong foundation in machine learning, data analytics, and large-scale AI system design, blending research-driven insights with hands-on development experience. I have built and deployed cutting-edge solutions across domains including LLM-powered applications, Retrieval-Augmented Generation (RAG), real-time data integration, and AI-driven analytics platforms. My journey spans impactful roles — from designing digital twins with physics-infused neural networks to refining system architectures for 33% faster response times — and leveraging my IIT Jodhpur background to tackle complex, high-impact challenges. I thrive in fast-paced, innovation-driven environments, where I can bridge data science, AI engineering, and product delivery to create solutions that scale. Let’s connect if you’re interested in AI system architecture, LLM applications, or real-time intelligent solutions

Experience

1 yr 10 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Black box

AI Software Developer

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Verifast

AI Engineer

Jun 2024 – May 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

Developed an internal analysis tool to track and analyze dropoff rates at each stage of the user journey.
Refined network and system calls reducing response time by 33% and boosting system performance.
80% reduction in deployment time through continuous deployment strategies, ensuring rapid updates.
Constructed a web crawler, reducing boarding time by 80%, streamlining operations for faster integration.
Reduced analytics processing time from 5 minutes to 30 seconds by leveraging PySpark and optimizing queries with a columnar database.
Optimized cloud Infrastructure, reducing costs by 40% through improved logging, and other efficiency measures

Data AnalyticsCloud InfrastructurePySparkContinuous DeploymentWeb CrawlingCloud Computing

Rediminds, inc

AI enabler

May 2024 – Jun 2024 · 1 mo · Remote

Worked on the creation of a digital twin using physics-infused neural networks and integrated them with real-time data.

Physics-Infused Neural NetworksReal-Time Data IntegrationMachine Learning

Ramailo tech

Machine Learning Engineer

Jan 2024 – Apr 2024 · 3 mos · Remote

Pioneered natural language to MongoDB query generation utilizing LLMs
Worked on the development of an AI-driven chatbot leveraging cutting-edge RAG (Retrieval-Augmented Generation) and OpenAI technologies, achieving an outstanding accuracy rate of 85%.
Fine-tuned GPT-3.5 Turbo for medical data
Applied Selenium for web scraping, proficiently extracting diverse information from web sources, thereby significantly enhancing data collection and analysis processes with unparalleled efficiency and accuracy

Natural Language ProcessingChatbot DevelopmentSeleniumRAGOpenAI TechnologiesMachine Learning