Atharva Mahesh Jagtap

Product Manager

Seattle, Washington, United States11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI systems and web applications.
Proven track record in enhancing user engagement through innovative solutions.
Strong collaboration skills in agile team environments.

Stackforce AI infers this person is a Full Stack Developer with expertise in AI and E-Commerce solutions.

Contact

Skills

Core Skills

Machine LearningPythonArtificial Intelligence (ai)Cloud ComputingReactWeb DevelopmentSoftware Architectural Design

Other Skills

data ingestionpreprocessing pipelinesdata validationfeature extractionLarge Language Modelsprompt engineeringMicrosoft AzureRetrieval-Augmented Generationcontext-aware response logicdata-driven UI componentsAPI-driven data pipelinesbehavioral analyticsresponsive designRESTful APIsB2B purchasing workflow

About

Full Stack Software engineer with a Master’s in Computer Science and hands-on experience building full-stack web applications, scalable AI systems, and machine learning models. I’ve contributed to both startup teams and academic research, developing solutions that improve performance, automation, and user experience. Skilled in Python, React, AWS, and ML frameworks like PyTorch and TensorFlow, I enjoy solving real-world problems with clean, efficient code. Whether it’s deploying AI tools or creating smart, user-friendly applications, I bring creativity, curiosity, and a strong focus on collaboration to the project.

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Ecoservants®

Software Developer

Jul 2025 – Present · 11 mos · United States · Remote

Built data ingestion and preprocessing pipelines to aggregate over 50,000 volunteer activity records and environmental impact entries
from multiple sources, transforming raw datasets into ML-ready features used for sustainability analytics and reporting.
Implemented data validation, normalization, and feature extraction workflows, improving dataset quality by 45% and enabling
predictive analytics models for estimating environmental impact metrics such as carbon reduction and volunteer engagement trends.
Designed backend services to support machine learning integration and analytics pipelines, enabling scalable processing of
sustainability data and preparing the platform for future predictive modeling and AI-driven insights.

data ingestionpreprocessing pipelinesmachine learningdata validationfeature extractionMachine Learning+1

Isoftstone

Software Engineer Intern

Jun 2024 – Aug 2024 · 2 mos · Bellevue, WA · On-site

Designed and deployed a scalable GenAI conversational system using Large Language Models (LLMs) and advanced prompt
engineering, increasing user engagement by 45% through highly context-aware, intent-driven, and dynamic response logic.
Engineered a highly scalable, enterprise-grade Retrieval-Augmented Generation (RAG) knowledge assistant on Microsoft Azure,
integrating 1000+ internal documentation sources and structured data via vector-based retrieval to deliver accurate, domain-specific,
and context-grounded insights.
Architected LLM orchestration pipelines and cloud-native workflows using Microsoft Copilot Studio, supporting 100+ daily active
users with complex multi-turn dialogue, contextual memory, and automated inference for extensible enterprise AI applications.

Large Language Modelsprompt engineeringMicrosoft AzureRetrieval-Augmented Generationcontext-aware response logicArtificial Intelligence (AI)+1

Trizbit

React Developer

Oct 2022 – Oct 2023 · 1 yr · Pune District · Hybrid

Developed scalable React-based interfaces for the Blueberry E-Commerce platform, integrating data-driven UI components and
personalization logic, resulting in 25% faster product discovery and a 30% increase in click-through rates for recommended items.
Implemented API-driven data pipelines and dynamic frontend modules to surface real-time product insights and behavioral analytics,
enabling future integration with machine learning–based recommendation systems and predictive analytics models.
Collaborated in agile teams to build modular frontend architectures and reusable component libraries, ensuring seamless integration
with backend services designed for AI-driven recommendations, user behavior analysis, and data analytics workflows.

Reactdata-driven UI componentsAPI-driven data pipelinesbehavioral analyticsWeb Development

Ksb company

Web Developer

Dec 2021 – Mar 2022 · 3 mos · Pune/Pimpri-Chinchwad Area · On-site

Designed and implemented a responsive frontend interface for an industrial ordering system, streamlining the B2B purchasing
workflow and improving overall usability and order processing efficiency by 30%.
Collaborated closely with backend engineers to integrate RESTful APIs and dynamic data endpoints for seamless, real-time data
flow, ensuring accurate order management, minimizing errors, and significantly enhancing overall system scalability, and
maintainability.

responsive designRESTful APIsB2B purchasing workflowWeb DevelopmentSoftware Architectural Design

Elite softwares

Software Developer

Aug 2021 – Oct 2021 · 2 mos · Pune, Maharashtra, India · Remote

Engaged in a comprehensive 'Python-Django and Web Development' project that facilitated a holistic understanding of graphic design principles, as well as frontend and backend coding. This project served as a valuable opportunity to gain expertise in the domains of web development.

PythonDjangoWeb Development