Swetha Srinivasan

Business Development Executive

New York, New York, United States0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in data engineering and cloud infrastructure.
Proven track record in building AI-powered solutions.
Strong background in FinTech and enterprise analytics.

Stackforce AI infers this person is a Data Engineer with expertise in AI and cloud solutions for FinTech and enterprise applications.

Contact

Skills

Core Skills

Data AnalysisStatistical AnalysisData EngineeringCloud InfrastructureNetworkingTeachingComputer VisionMachine LearningSoftware DevelopmentRoboticsData Science

Other Skills

ABABAWS Identity and Access Management (AWS IAM)AWS S3Amazon Web Services (AWS)Analytical SkillsArtificial Intelligence (AI)BlockchainCC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationCompetitive ProgrammingContent writingCreative Writing

About

Hi! I am Swetha :) I'm a Software Engineer with experience across data engineering, cloud infrastructure, and AI tools. I've worked at companies like Foundry and Bosch, building ETL pipelines, developing APIs, and supporting real-time analytics projects in FinTech and enterprise settings. My toolbox includes Python, SQL, Snowflake, AWS, Azure, Terraform, DynamoDB, Kendra, and Bedrock. I'm comfortable designing systems end-to-end — from data ingestion to cloud deployment — and enjoy working on backend-heavy projects that scale well and are easy to maintain. I focus on cloud architecture, data platforms, and building AI-powered solutions that simplify complex workflows. I'm Azure Certified and trained in blockchain forensics using Chainalysis Reactor. Want to connect? Feel free to drop a hello on LinkedIn.

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Rochester institute of technology - saunders college of business

Data Analyst

Apr 2025 – Present · 1 yr 2 mos · Rochester, New York Metropolitan Area · Hybrid

● Driving Accreditation & Assessment initiatives at Saunders College of Business by streamlining Assurance of Learning (AoL) data, reports, and AACSB compliance documentation.
● Advancing assessment strategy and process optimization through outcome mapping, faculty collaboration, and AoL cycle management.

SQLMicrosoft ExcelStatistical Data AnalysisMicrosoft Power BIPerformance DashboardsData Analysis+1

Foundry

Software Engineer ( Data )

May 2024 – Dec 2024 · 7 mos · Rochester, New York, United States · Hybrid

● Built a ETL pipeline to extract blockchain transaction data from public S3, transformed key
metrics (gas & tokens burnt), and staged outputs as parquet files in a private S3 before integrating for Snowflake Analytics.
● Deployed the pipeline via Docker & Kubernetes, built & tested on dev environment using Prefect, whilst ensuring secure data movement between S3 buckets using multi-authenticated IAM based AWS sessions.
● Simulated data ingestion workflows using Google BigQuery to prototype data extraction and transformation (ETL) and developed interactive dashboards to visualize transactional metrics for stakeholder insight and validation.

Data EngineeringPrefect Dataflow AutomationBlockchainAWS S3Python (Programming Language)SQL+4

School of information at rochester institute of technology

Teaching Assistant

Jan 2024 – May 2024 · 4 mos · Rochester, New York, United States · On-site

● Facilitated weekly labs and 1:1 tutoring for students, covering configuration and administration of TCP/IP protocols (TCP, UDP, DHCP, DNS) across Linux and Windows environments.
● Designed and reviewed lab assignments and quizzes, reinforcing core concepts in networking and hands-on protocol troubleshooting.
● Supported practical understanding of network services by mentoring students through real-world simulation tasks and grading technical deliverables to ensure skill mastery.

VirtualizationSecure Shell (SSH)Internet Protocol Suite (TCP/IP)Domain Name System (DNS)Virtual Private Network (VPN)Network Architecture+3

Bosch global software technologies

Data Analyst Intern

Jan 2023 – May 2023 · 4 mos · Coimbatore, Tamil Nadu, India · On-site

● Extracted and transformed key sales KPIs from four Data Warehouse layers with a database schema supported by SAP BW on HANA, contributing to performance optimization of the order-to-cash (O2C) pipeline across logistics and sales.
● Automated reporting workflows and scheduled cron jobs for historical trend analysis using SQL, Python (Pandas), and Amazon EventBridge, enabling real-time visibility through Airflow-triggered refreshes.
● Designed interactive, real-time Power BI dashboards for S&P and Logistics teams to guide operational strategy decisions

SAP BW On HANAProgrammingSQLDatabasesSAP Business Warehouse (SAP BW)Data Visualization+10

Rochester institute of technology

Research Intern

Feb 2022 – Dec 2022 · 10 mos · Rochester, New York, United States · Remote

● Collaborated with Dr. Nirmala Shenoy on the design and development of the Expedited Internet Bypass Protocol (EIBP), a Layer 2.5 protocol aimed at optimizing internet routing and simplifying routing table management.
● Engineered core protocol logic using C, integrated database support for routing data, and simulated performance improvements in large-scale network environments.
● Strengthened skills in low-level networking, Git-based version control, and VPN configuration, contributing to foundational research in next-generation internet architecture.

ProgrammingDatabasesNetworkingGitVirtual Private Network (VPN)C (Programming Language)+5

Samsung r&d institute india - bangalore

Data Analyst Intern

Nov 2021 – Jan 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India · Remote

● Developed a video data pipeline for license plate recognition using Python, OpenCV, and Tesseract, enabling automated extraction of text from real-world video streams.
● Improved text localization and tracking by integrating EAST and CRAFT models, achieving accuracy of 62.3% and precision of 57.2% across varied video conditions.

OpenCVArtificial Intelligence (AI)Computer VisionCascading Style Sheets (CSS)Data VisualizationPython (Programming Language)+6

Technocolabs softwares

Data Science Intern

Jun 2021 – Jul 2021 · 1 mo · Remote

● Collaborated with a team to develop and deploy an end-to-end ML pipeline for predicting stock price movements using historical trading data.
● Handled data collection, preprocessing, feature engineering, and model training using Python and Scikit-learn, improving prediction accuracy through iterative tuning.
● Gained hands-on experience with version control, model deployment strategies, and real-world teamwork across the full data science lifecycle.

Computer VisionData VisualizationPython (Programming Language)Machine LearningGitData Science+5

Iqube - innovation center

Level III Member Trainee

Aug 2020 – Dec 2022 · 2 yrs 4 mos · Coimbatore, Tamil Nadu, India · On-site

● Built and deployed machine learning models (avg. 94% accuracy) for applications including early-stage crop disease detection using computer vision with camera feeds.
● Led a team in multiple ML and robotics-based R&D initiatives; mentored junior members, represented iQube at national hackathons, and participated in stakeholder review meetings.
● Engineered a robotic arm system for pick-and-place tasks using ROS and a vacuum-based 4-DOF mechanism, reducing system complexity and cost.
● Integrated real-time vision data with ROS pipelines using Lidar and OpenCV to power autonomous movement for 3D object handling (e.g., wax rotation and placement).
● Researched and benchmarked open-source systems like OpenPnP and LitePlacer to design a low-cost, modular prototype assembly system with advanced camera calibration and feeder integration.

ProgrammingCascading Style Sheets (CSS)Competitive ProgrammingMachine LearningJavaScriptProblem Solving+9