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audioTQ
June 9, 2026 – Present
Porting TurboQuant’s LLM weight-quantization mechanics (Hadamard rotations + Lloyd-Max centroids) to localized CPU audio processing
View ProjectAgenticFinance-RAG
April 26, 2026 – Present
Agentic RAG for SEC filings and news synthesis using LangGraph, Gemini 3.0, and PostgreSQL.
View ProjectVelocityLOB
February 4, 2026 – Present
self-contained order book simulator implemented in C++20
View ProjectBuilding-and-Road-Segmentation-from-Aerial-Images
January 1, 2023 – January 1, 2023
Aerial Image segmentation using different EfficientNet based backbone encoders with UNet on Massachusetts Building and Road dataset
View Projectcrop-recommendation-and-plant-disease-detection
March 6, 2022 – July 18, 2024
Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach
View Projectimage-quilting-texture-synthesis
December 15, 2021 – December 18, 2021
Implementation for Image Quilting paper by Alexei A. Efros & William T. Freeman
View ProjectCovidRecognizer
December 14, 2020 – January 31, 2021
Image segmentation and classification for Covid19 lung CT-scans using UNET implemented in Tensorflow and Keras.
View ProjectImprovedLSBSteganography
December 2, 2020 – December 7, 2020
Enhanced LSB Based Image Steganography
View ProjectLSB-Steganography-using-Pixel-Locator-Sequence-With-AES
December 2, 2020 – April 17, 2021
Improvised LSB Steganography technique using Pixel Locator Sequence with AES. Implementation for paper https://ieeexplore.ieee.org/abstract/document/9478162
View ProjectCultural Fit Analysis
The candidate's projects are predominantly personal and research-oriented, showcasing a strong interest in cutting-edge AI/ML topics. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within a corporate environment. The project diversity is high within the ML/AI domain, but lacks breadth in other software engineering areas. The target role is Data Scientist, which aligns well with the project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation and research-oriented tasks.