From a62ab060c28d24d8559375c4ad544664dfe382a0 Mon Sep 17 00:00:00 2001
From: listout <listout@protonmail.com>
Date: Sat, 11 Dec 2021 23:05:11 +0530
Subject: grammmer update

---
 resume.pdf | Bin 272720 -> 271755 bytes
 resume.tex |  24 ++++++++++--------------
 2 files changed, 10 insertions(+), 14 deletions(-)

diff --git a/resume.pdf b/resume.pdf
index cd050a6..69d2c07 100644
Binary files a/resume.pdf and b/resume.pdf differ
diff --git a/resume.tex b/resume.tex
index 060fb0d..8998e1c 100644
--- a/resume.tex
+++ b/resume.tex
@@ -79,7 +79,7 @@
 
 	\section{Work Experience}
 
-	\subsection{Lifespark Technologies}
+	\subsection{Lifespark Tech, IIT Bombay}
 	\hfill
 	{\textbf{Mumbai, Maharashtra}}
 	\newline
@@ -89,9 +89,13 @@
 
 	{\small
 		\setlist{label=$\circ$}
-		\itemsep0em
-		\begin{itemize}
-			\item Develop firmware for custom medical devices.
+		\begin{itemize}[noitemsep]
+			\item Posting firmware for other MCU models
+			\item Implementation of communication protocol \textbf{(ESPNOW,
+					Wi-Fi, MQTT, BLE)}
+			\item Implementing cloud technologies using \textbf{AWS}  and
+				\textbf{GCP}'s SDK
+			\item Research and Development
 		\end{itemize}
 	}
 
@@ -105,8 +109,7 @@
 
 	{\small
 		\setlist{label=$\circ$}
-		\begin{itemize}
-			\itemsep0em
+		\begin{itemize}[noitemsep]
 			\item Ported existing system to different processor architecture.
 			\item Refactor existing code and implement better communication
 				protocol (SPI and I2C).
@@ -138,7 +141,7 @@
 		\itemsep0em
 		\item \textbf{Programming Languages}: C, \CPP, Java, \LaTeX, Python,
 			shell scripting, SQL
-		\item \textbf{Tools}: Git, Docker, ssh, PlatformIO, FreeRTOS
+		\item \textbf{Tools}: Git, Docker, ssh, PlatformIO, FreeRTOS, ESP-IDF
 		\item \textbf{Platforms}: Linux, BSDs, Windows, RaspberryPi
 		\item \textbf{$\mu-$Processors}: ARM STM32, Atmega328p, ESP32
 	\end{itemize}
@@ -163,13 +166,6 @@
 	starting point.
 	\href{https://gitlab.com/listout/mcwj.git}{Link to project}.
 
-	\subsection{Brain Tumor Detection:}
-	Using image classification algorithms (\textbf{CNN}, \textbf{VGG 16} and
-	\textbf{ResNet 50}) to predict the presence of tumorous cells. Achieved up
-	to \textbf{98\%} accuracy.
-	\href{https://raw.githubusercontent.com/listout/project_paper/paper/paper.pdf}
-	{ \textit{(Project paper)}  }
-
 	\section{Open Source Contributions}
 
 	\subsection{Gitlab Shell}
-- 
cgit v1.2.3