Statement of Account — Sanjay Charitesh Makam
// Theme inspired by spendswitch.com — built by Sanjay

Engineer.
Researcher.
Builder.

// Software Engineer · ML Researcher · Full-stack Builder
sanjaychariteshmakam@gmail.com 640-250-7165 New York · Open to US
Sanjay Charitesh Makam
Account TypeCS Graduate · RIT 2026
GPA3.70 / 4.0
StatusActive · Open to Work
Statement PeriodAug 2022 — Present
3.70GPA / 4.0 · Dean's List 3×
40+SpendSwitch Users · 7 Countries
5Research Papers · 1 Published ACM
6+Years Building · 2020 — Present
Account Origin
Aug 2022 — Dec 2026
Rochester Institute of Technology
B.S. Computing and Information Technologies
Concentration: Database & Web Development · Cybersecurity, Networking, OS coursework
★ Dean's List — Spring 2025, Fall 2025 & Fall 2026 (3 consecutive semesters)
3.70
GPA / 4.0
Transaction History
Period Description Type
May 2026
— Present
AI & Data Researcher City of Rochester · RIT · Hybrid
Collaborative project with Rochester Police Dept. & U.S. Dept. of Justice on body-worn camera footage AI analysis Applies ML, Computer Vision, and NLP to improve automated insights and law enforcement decision-making Developing interdisciplinary AI-driven framework for transparency and training support
ACTIVE
Research
Internship
Jan 2026
— May 2026
Research Assistant — VLA Security & Adversarial ML Rochester Institute of Technology · On-site
Investigated adversarial attack surfaces in 3+ categories within Vision-Language-Action models using PyTorch Trained on behavioral patterns across robotic perception and multimodal decision pipelines Tuned classification thresholds and learning rates across 10+ configurations for visual injection defense
RESEARCH
Academic
Research
Jan 2026
— May 2026
Teaching Assistant — NSSA 241 (Routing & Switching) Golisano College, RIT · On-site
TA for Intro to Routing and Switching — networking protocols, Wireshark, and lab configurations Supported students through hands-on network troubleshooting and subnet exercises
TEACHING
Networking TA
Aug 2025
— Dec 2025
Teaching Assistant — ISTE 140 (Web Development) Golisano College, RIT · On-site
Mentored 60+ students in full-stack development, frontend, and systems fundamentals Graded 200+ assignments; improved lab completion rates through one-on-one debugging
TEACHING
60+ Students
Apr 2025
— Aug 2025
Research Intern — Cybersecurity & ML RIT Cybersecurity Dept. (Prof. Dr. Naresh Kshetri)
Built malware detection on EMBER-2018 (1.1M samples) using RNN-LSTM + Transformers on PyTorch with GPU acceleration Engineered histogram + byte entropy pipelines; 97% LSTM accuracy, 99% Transformer accuracy Published at ACM SIGCITE 2025 · IEEE JCM 2026 poster presentation — won $100 prize & certificate
RESEARCH
ACM Published
IEEE Prize
May 2025
— Aug 2025
Software Engineer Intern Criyaa Inc. · California · Remote
Built full-stack e-signature platform: FastAPI backend + React frontend + AWS S3 + Auth0 + Dropbox Sign API Designed presigned URL workflows for secure file upload — maintained 100% uptime across all deployments Reduced document turnaround time by 25% through Agile sprint collaboration (Jira, Taiga, GitHub Actions CI/CD)
INDUSTRY
−25%
Turnaround
Key Investments
Beehive Health Monitoring System
RIT
Aug 2025 — May 2026
Remote IoT monitoring using LoRa for real-time beehive temperature tracking and hive health visualization Full-stack dashboard: multi-hive management, viewer access control, graphical real-time + historical sensor readings OTP auth, email alerts for anomalies, MySQL on Ubuntu VM with Nginx, hardware-to-cloud-to-web pipeline
NODE.JSMYSQLJWTLORA/IOTNGINXUBUNTU SERVERREACT.JS
AI Virtual Assistant
AI/ML
Aug 2023 — Sep 2023
Conversational AI assistant using OpenAI APIs + LangChain for question-answering and multi-turn dialogue Integrated Hugging Face NLP models and PlayHT voice cloning for real-time speech generation Deployed via Gradio on Google Colab with API-driven real-time responses
OPENAI APILANGCHAINGRADIOHUGGING FACEPLAYHTPYTHON
Live Demo →
iSchool Information Portal
RIT
Jan 2025 — May 2025
Full-stack web app: React.js frontend + ASP.NET MVC (C#) backend consuming RESTful APIs for degrees, minors, faculty, courses Courses-on-demand feature, animations, responsive UI, reusable component architecture
REACT.JSASP.NET MVCC#REST APIsJAVASCRIPT
View Project →
TPC Data Warehouse & ETL Pipeline
RIT
Oct 2025 — Nov 2025
Dimensional data warehouse with star schema for The Product Company — ETL across customers, products, invoices Data cleansing, anomaly detection, source-to-target mappings, indexing optimization for BI reporting
MYSQLSASPENTAHO KETTLEETLSTAR SCHEMA
FundGoodDeeds — Financial Tracking App
Aug 2025 — Dec 2025
Java app with Observer, Factory, Composite, Facade, Mediator design patterns — 30% data-processing efficiency gain CSV-based persistent storage, daily ledger, financial analytics, multi-view GUI with full MVC separation
JAVAOOPSWING/JAVAFXDESIGN PATTERNSMVC
Dynamic Multi-Level Form Builder
RIT
Jan 2025 — May 2025
JavaScript DOM manipulation for dependent multi-level dropdown menus, form validation, animations Cookies/localStorage integration, browser compatibility, requestAnimationFrame() animations, reusable architecture
JAVASCRIPTHTML5CSS3DOMLOCALSTORAGE
View Project →
5 Papers · 1 Published · 4 In Progress

secRNNlong: Malicious Code Classification using RNNs with LSTM and Transformers for improved Cybersecurity

Makam, S.C. et al. · EMBER-2018 (1.1M samples) · 97% LSTM · 99% Transformer · Sacramento, CA · IEEE JCM 2026 poster · $100 prize

ACM SIGCITE 2025

Post-Quantum Cryptography for Securing AI Model Weights at Scale

ML-KEM-768 + ML-DSA · PQC adds 0.003% latency overhead · Chunked secure inference · SHA3 vs BLAKE3 benchmarks

Target: USENIX 2026

Detecting Prompt Injection Attacks in Multi-Agent AI Systems

LLM-to-LLM injection detection classifier · NLP + RNN/Transformer pipeline · Co-authored

Target: USENIX 2026

Deep Learning for Fetal Brain MRI Segmentation and Structural Analysis

Automated fetal brain tissue segmentation using transformer-based deep learning · Prenatal neuroimaging · PyTorch · Conference TBD

In Progress

Adversarial Knowledge Injection in RAG Systems: How Much Poison Controls the AI?

Quantifying document-level poisoning thresholds in Retrieval-Augmented Generation · Attack surface analysis · NLP + classifier pipeline

Target: USENIX 2026
Asset Portfolio
Languages
PythonJavaScriptTypeScript JavaCC# (.NET) SQLPHPHTML5 CSS3Bash / Shell
Frameworks & Libraries
React.jsNode.jsExpress.js FlaskFastAPIASP.NET MVC PyTorchPandasLangChain GradioHugging Face
AI / ML
OpenAI GPT-4Deep Learning NLPRNN / LSTMTransformers Adversarial MLComputer Vision AI AgentsMulti-Agent Systems RAGPrompt Engineering LLM Orchestration
Cloud & DevOps
AWS S3Google Cloud Run DockerGitHub Actions FirebaseNginx CI/CDUbuntu Server
Databases & Data Engineering
MongoDBMySQL SQLiteMSSQLOracle ETL PipelinesStar Schema SAS StudioPentaho KettleWeka
Backend, Auth & APIs
REST APIsJWT OAuth 2.0Auth0 StripeRazorpay Dropbox SignWebhooks MVC ArchitectureSOAP / XML
Networking & Systems
Active DirectoryDNS / DHCP pfSense / FirewallVMware Windows Server 2025Rocky Linux Apache httpdSSL / TLS Samba / NFS / FTPRAID SMTP / IMAPWireshark Virtual LANCron Jobs Linux Sysadmin
Tools, Design & IoT
FigmaJira TaigaGit / GitHub Agile / ScrumKanban LoRa / IoTRaspberry Pi Google ColabJupyter
Enterprise Infrastructure Experience
LAB 01
Virtualization & Network Setup
VMwarepfSenseNAT/LANWin Server 2025Rocky LinuxStatic IP
LAB 02
Active Directory, DNS & DHCP
AD DSDNS ServerDHCPGroup PolicyDomain ControllerUser Mgmt
LAB 03
Version Control & Git
GitLocal/Remote ReposCommit/Push/PullBranching
LAB 04
Partitioning & RAID
MBR/GPTRAID 1 & 5mdadmfstabRAID RecoveryFile Systems
LAB 05
File Services
FTP/vsftpdSambaNFSRsyncSELinuxCross-platform Sharing
LAB 06
Web, Email & Automation
Apache httpdSSL/TLSVirtual HostsSMTP/IMAPCron JobsRemote Logging
Scheduled Deposits
STEMforAll 2026 — University of Rochester
July 27 – August 7, 2026 · Hylan Building, UR · Neural Network Pruning Research (Group A2)
Two-week in-person research workshop with University of Rochester faculty. Investigating useless neuron detection and neural network pruning using ResNet-18 — identifying which neurons can be removed without sacrificing model accuracy. Extends existing deep learning and adversarial ML research background.
Teaching the Internet
CybersecurityWeb Dev NetworkingCloud & DevOps AI & MLPost-Quantum Crypto SQL InjectionDocker RAG & LLMsStartup Learnings IDOR & XSSSystem Design
🤖

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