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Adarsh police - Full stack developer and Ai
[email protected]
Location: Hempstead, New York, USA
Relocation: Open to relocate
Visa: STEM OPT
Resume file: FT_AP_1771091637431.docx
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ADARSH POLICE
Hempstead, NY | P: +1 4109670117 | [email protected]
SUMMARY
Full-stack software developer with 4+ years of Java and Python based backend service development, React frontend development, as well as data pipeline development using AWS and Snowflake. Proficient in multiple big data technologies (Spark/Kafka) as well as AI/ML workflows for anomaly detection/predictive analytics as well as complete end-to-end delivery of an enterprise solution. Experienced in the agile software development life cycle, as well as the development of REST APIs and the creation of interactive dashboards to deliver data driven insights.
EDUCATION
CLARK UNIVERSITY Worcester, MA
Master of Science in Data Analytics & ML 2024
Indian Institute of Information Technology Surat (IIIT) Gujarat, India
Bachelor of Technology in Electronics and Communication Engineering 2022
TECHNICAL SKILLS
Programming & Scripting: Java, Python, SQL, JavaScript
Frontend / UI Development: React, JavaScript, Interactive Dashboards
Big Data / Distributed Systems: Apache Spark, Kafka, Microservices, RESTful APIs, Flask, FastAPI
Databases & Data Management: MySQL, PostgreSQL, Data Validation, Snowflake, Data Modeling, Query Optimization
Data Visualization & BI: Tableau, Power BI, Matplotlib, Seaborn
Cloud & DevOps: AWS (EC2, Lambda, S3, RDS, CloudWatch, Glue), Docker, CI/CD pipelines, Linux servers
Monitoring, security & Version Control: Logging, Latency Monitoring, Access Controls, Git, ML/Data Engineering Platforms
Machine Learning / AI: LLMs, RAG, Anomaly Detection, Predictive Modeling, Feature Engineering
Office & Productivity Tools: Excel, PowerPoint, Word, Outlook
PROFESSIONAL EXPERIENCE
Verizon| NY Feb 2025 Present
Full Stack Developer
Used a full end-to-end delivery model utilizing technologies like Java, Spring Boot, React, Python, and SQL; provided support to internal analytics and telemetry platforms.
Built out back-end Java microservices as part of an enterprise level microservice architecture which leveraged features of asynchronous processing, multi-threading, and memory efficiency to process large volumes of network telemetry data.
Designed data pipelines using Python, Apache Spark, Kafka and Snowflake to allow for ingestion, transformation, and storage of operational data for analyst reporting purposes.
Designed and developed RESTful APIs to support internal facing applications to enable real time, low latency communication, secure access and seamless integration into dashboards developed using React.
Utilized Basic AI/ML workflow for Anomaly Detection and Predictive Analysis and developed python models that were integrated into back-end pipelines to enable proactive issue resolution.
Utilized Amazon Web Services (AWS) Cloud Watch and Internal Systems to Implement Monitoring, Logging and Access Control to Ensure Reliability of the System and Compliance with Data Governance Requirements.
Collaborated with Front-End Developers to Create Interactive Dashboards That Combined the Output of API Calls with the Ability to Dynamically Display Trends in Telemetry Data and Insights from Analytics.
Citi | NY Jan 2024 Feb 2025
Software Developer I
Developed Java microservices and REST APIs for the Customer Service Insights Platform, enabling real-time data access and service automation for internal banking applications.
Built React frontend components and integrated Python scripts for analytics, supporting data-driven insights and improving internal workflows.
Collaborated in Agile SDLC teams, contributing to feature planning, testing, and deployment on AWS cloud infrastructure.
Assisted with data preprocessing, analytics pipelines, and minor AI/ML automation to enhance reporting and predictive capabilities for customer service teams.
Dixon Technologies Pvt. Ltd., India Jan 2021 Aug 2022
Associate Software Developer
Developed and maintained backend services in Python to support Orbic 5G Smartphone Manufacturing Workflows, including tracking production status, device metadata, and export compliance checkpoints for U.S. exports.
Developed and queried manufacturing and quality datasets using MySQL/PostgreSQL to rapidly identify the root cause of defects associated with assembly and testing across multiple production batches.
Developed RESTful APIs to interface between shop floor systems and internal dashboards to enable real-time viewing and monitoring of line performance and defect trends by operations and QA teams.
Introduced data validation, logging, and exception handling across services to enhance system reliability during peak manufacturing periods and reduce manual interventions.
Coordinated with cross-functional teams to update code on Linux-based servers using Git-based version control and basic CI practices to safely deploy changes.
PROJECTS
Research Intern
Alzheimer s Detection using PANi-based Nanofibers, IIT Hyderabad:
Preprocessed and analyzed experimental nanofiber datasets using Python (Pandas, NumPy) to perform exploratory data analysis (EDA) and identify any patterns in relation to Alzheimer s biomarkers.
Utilized basic machine learning techniques to develop features and identify preliminary patterns to support research insights and experimental design.
Developed visualizations using Matplotlib to communicate findings and provide direction for ongoing experimentation to promote reproducibility and clarity for research discussions.
Academic Project
YouTube Video Analysis for Customer Retention:
Utilized Python to construct data pipelines to collect, clean and format YouTube engagement data (views, likes, comments, watch time) to facilitate efficient analysis of viewer behavior.
Utilized Matplotlib and Seaborn to develop visual dashboards to study and evaluate any patterns and trends to determine what factors influence viewer retention.
Keywords: continuous integration continuous deployment quality analyst artificial intelligence machine learning user interface business intelligence sthree fiveg Massachusetts New York

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