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Research Staff Member
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VIjna Labs
Data Scientist
June 19, 2026 – Present
DocChatter
February 18, 2025 – February 18, 2025
Your chatmate for extracting info from the document that you upload.
View ProjectLangGraph_Based_Resume_Screener
August 15, 2024 – August 29, 2024
An LLM Chatbot based on LangGraph and LangChain that dynamically retrieves and processes resumes using RAG to perform resume screening.
View ProjectLocal-RAG-with-LangChain
April 25, 2024 – April 25, 2024
This project implements a local QA system by combining RAG with LangChain. LangChain's library assists in building the RAG pipeline, which leverages a powerful LLM hosted on OLLAMA. Notably, this system operates entirely on your local machine, offering privacy and control over your data.
View ProjectImage2Text
February 24, 2024 – March 2, 2024
This respository consists of training and inference pipelines for Image to Text conversion models
View ProjectMy_NLP_Projects
January 24, 2024 – January 24, 2024
This repo contains my NLP projects like, QA, Summarization and NER using transformer models. Will try to include sLLMs and Multi-model architectures in the future.
View ProjectDeepstream-Python-Samples
March 25, 2021 – February 27, 2022
DeepStream-Python - SSD - YOLO
View ProjectJetson_TX2_Works
February 18, 2020 – February 18, 2020
This is repo is for my personal works in Jetson TX2 Dev Kit
View ProjectPython_Multiprocessing_Socket-Programing-
January 21, 2020 – February 14, 2020
Demo project code for Python multiprocessing and socket programing
View ProjectStream-Video-from-RPi-Camera-to-Any-PC---Using-Python-Sockets
December 6, 2019 – February 14, 2020
Live video straming from any RPI camera to any pc.
View Project3D-Object-Reconstruction-from-Multi-View-Monocular-RGB-images
February 5, 2019 – December 20, 2024
Hybrid Ensemble Approach For 3D Object Reconstruction from Multi-View Monocular RGB images
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards individual, research-oriented, and experimental work. While this demonstrates initiative and self-learning, there is insufficient data to assess collaboration, teamwork, or alignment with a structured corporate environment. The projects are diverse within the AI/ML domain, which is a positive for cultural fit in an innovative team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and initiative in learning new technologies.