Ashmit Deb

Stock Sentiment Analysis Tool

Reddit API & NLP

A multithreaded C++ desktop utility that mines real-time discussion from r/wallstreetbets, r/stocks, and r/investing, preprocesses the text with custom stop-word removal and VADER/FinBERT polarity scoring, and then aggregates signals into a time-weighted sentiment index for each ticker. The pipeline respects Reddit’s API-rate limits through a producer–consumer queue, uses mutex-protected hash maps for word-frequency tallies, and streams live progress bars to the CLI. After every pull, the tool autogenerates an HTML dashboard—complete with Chart.js candlestick overlays and heat-map treemaps—so users can visually correlate crowd mood swings with intraday price action. Benchmarked on 30K posts, the index achieved a 65% precision in flagging the day’s top-moving stocks, making it a lightweight alternative to heavyweight NLP platforms.

Arduino LED-Matrix Night-Lamp

IoT Hardware

An 8 × 8 RGB LED-matrix lamp powered by an Arduino Nano that shifts between Circadian, Ambient, and Manual modes. An LDR and temperature sensor feed a finite-state controller that auto-adapts color temperature (2700K–6500K) and brightness to room conditions, while a rotary encoder lets users cycle through presets and dynamic pixel animations. The firmware is written in C++ using the FastLED library with DMA-driven refresh to eliminate flicker; persistent settings are stored in EEPROM so the lamp remembers its last state after power loss. A 3-D-printed diffuser enclosure and magnet-mounted PCB make the unit both desk-friendly and serviceable, and the whole build runs safely off a 5V USB-C supply drawing under 500 mA at peak output.

Sigray

Software Engineering Intern | May–Aug 2025 | Benicia, CA

• Focused on automation testing and feature development in C# and .NET 8 for Sigray’s AttoMap micro-XRF software creating BDD Gherkin scenarios in Reqnroll/SpecFlow, coding spectral-analysis modules, and running tests with OpenQA Selenium, NUnit, and Azure DevOps across APIs, CI/CD pipelines, and GUI workflows.
• Integrated ML-based spectral decomposition & ROI clustering by implementing k-means notebooks in Jupyter along with Python and embedded automated mineral phase segmentation directly into the analysis pipeline.
• Optimized UI performance through refactoring async data-binding, layout virtualization, and telemetry driven tuning while trimming initial load & scan-preview latency by 30% ensuring releases met functional targets.

Blue Cross Blue Shield of Michigan

Data Engineering Intern | May–Aug 2024 | Southfield, MI

• Conducted source-to-target mapping to retrieve data transformation and migration across systems while utilizing SQL and ETL processes to maintain data consistency and optimize integration workflows.
• Used Power Automate along with Sharepoint for IT intake forms while also storing and formatting confidential patient inquiries for data integrity.
• Utilized TriZetto Facets to log and track inquiry tickets with Cognizant, validating end-to-end (E2E) and system-integration (SIT) workflows in non-production environments to ensure accurate claim diagnostics.

University of Michigan – EECS Department

Electrical Engineering Intern | Jun–Aug 2023 | Ann Arbor, MI

• Collaborated with Professor Amir Mortazawi's postgraduate research team at the University of Michigan, developing a wireless power transmission system while utilizing amplitude modulation frequency.
• Operated different analog circuit simulators including LTspice while working hands on with RLC circuits and converting 1 MHz radio waves into an AC voltage source.