File size: 17,794 Bytes
046198b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 | import { useState } from "react";
import { AnimatePresence, motion } from "framer-motion";
import { ExternalLink, FileText, Github, Linkedin } from "lucide-react";
import { CONTACT_EMAIL, GITHUB_URL, HUGGING_FACE_URL, LINKEDIN_URL } from "@/lib/links";
type Project = {
id: string;
era: "UNT - Graduate" | "Accenture" | "Undergrad" | "Independent";
title: string;
tagline: string;
period: string;
details: string[];
stack: string[];
links?: {
label: string;
href: string;
}[];
};
const projects: Project[] = [
{
id: "alive-agents",
era: "Independent",
title: "Alive - AI Agent Orchestrator",
tagline: "Full-stack platform that assembles AI dev teams for any coding task.",
period: "2026",
details: [
"Spawns 5 role-based agents (Team Lead, Architect, FE Dev, BE Dev, Tester) per project.",
"Each agent runs on a different AI provider (DeepSeek, Qwen, Kimi, GLM, GPT) - all in parallel.",
"Isolated git worktrees per agent, real-time progress tracking, and live iframe preview.",
],
stack: ["TypeScript", "Next.js", "Multi-Agent AI", "React", "Prisma"],
links: [
{
label: "View Code",
href: "https://github.com/im-mj/Agents-",
},
],
},
{
id: "nimbus-bank",
era: "Independent",
title: "Nimbus Bank - AI Triage System",
tagline: "LangGraph multi-agent pipeline for banking customer support.",
period: "Apr 2026",
details: [
"Built a LangGraph multi-agent system to classify and route banking support tickets.",
"Agents handle intent detection, policy lookup, escalation, and resolution - end to end.",
"Delivered full PRD, architecture diagram, and live Streamlit demo for Wipro pre-screening.",
],
stack: ["Python", "LangGraph", "LLM", "Streamlit", "Multi-Agent"],
links: [
{
label: "View Code",
href: "https://github.com/im-mj/Nimbus-Bank-Triage",
},
],
},
{
id: "ghost-job-hunter",
era: "Independent",
title: "Ghost Job Hunter",
tagline: "Chrome extension concept for spotting suspicious or stale job posts.",
period: "2026",
details: [
"Flags ghost-job warning signs such as stale listings, repeated postings, vague role signals, and weak hiring intent.",
"Uses an AI-assisted scoring flow to help job seekers focus on real opportunities instead of wasting applications.",
"Connects analytics, recruiting pain points, and browser automation into a practical job-search tool.",
],
stack: ["Chrome Extension", "JavaScript", "AI Scoring", "Job Analytics"],
links: [
{
label: "View Code",
href: "https://github.com/im-mj/Ghost-Job-Hunter",
},
],
},
{
id: "smartscreen",
era: "UNT - Graduate",
title: "SmartScreen - AI Resume Analyzer",
tagline: "AI-driven resume scoring & ATS-match feedback.",
period: "Jan 2025 - May 2025",
details: [
"Designed an AI scoring engine that grades resumes against a target JD and highlights ATS-killing gaps.",
"Generates targeted feedback so candidates can iterate quickly instead of guessing.",
"Built as an end-to-end concept: parsing -> scoring -> recommendations.",
],
stack: ["Python", "NLP", "AI", "Data Analysis"],
},
{
id: "cvs",
era: "UNT - Graduate",
title: "CVS Pharmacy Strategy Thesis",
tagline: "Analytics-backed strategy across Finance, Marketing, Ops, HR & AI.",
period: "Jan 2025 - May 2025",
details: [
"Deep-dived 10-K filings and market data to build a cross-functional growth thesis.",
"Layered AI/automation recommendations on top of traditional strategy frames.",
"Delivered as a board-style presentation with prioritized initiatives.",
],
stack: ["Research", "10-K Analysis", "Strategy", "Presentations"],
},
{
id: "jobs",
era: "UNT - Graduate",
title: "Job Market Analysis",
tagline: "Interactive Tableau dashboards on hiring trends & skills demand.",
period: "Aug 2024 - Dec 2024",
details: [
"Cleaned and modeled a multi-source job postings dataset.",
"Built dashboards that surface skill demand, salary bands, and role trajectories.",
"Designed for non-technical stakeholders to filter and self-serve.",
],
stack: ["Tableau", "Data Viz", "SQL"],
},
{
id: "spend",
era: "UNT - Graduate",
title: "Student Spending Analysis",
tagline: "Regression + ANOVA on monthly student spend patterns.",
period: "Aug 2024 - Dec 2024",
details: [
"Collected and cleaned a primary dataset from student respondents.",
"Used regression and ANOVA to identify which factors actually moved spend.",
"Translated stats into plain-English recommendations.",
],
stack: ["Minitab", "Excel", "Statistics"],
},
{
id: "smile",
era: "UNT - Graduate",
title: "Smile Buddy 3000 - Marketing Concept",
tagline: "Superhero-themed product campaign with positioning + messaging.",
period: "Jul 2025 - Sep 2025",
details: [
"Built persona, value prop, and a launch narrative around a fun mascot.",
"Designed campaign assets and a phased go-to-market plan.",
],
stack: ["Marketing Strategy", "Brand", "Advertising"],
},
{
id: "secondlife",
era: "UNT - Graduate",
title: "Second Life - Organ Matching ML",
tagline: "ML pipeline for patient-organ matching and hospital triage.",
period: "2025",
details: [
"Built end-to-end ML pipeline with tiered matching, feature engineering, and model evaluation.",
"Modeled patient and hospital journeys; benchmarked classifiers for match scoring accuracy.",
"Deployed on HuggingFace Spaces with full architecture diagrams and a presentation deck.",
],
stack: ["Python", "ML", "Flask", "SQL", "HuggingFace"],
links: [
{
label: "View Code",
href: "https://github.com/im-mj/SecondLife",
},
],
},
{
id: "firewall-auto",
era: "Accenture",
title: "Firewall Rule Automation",
tagline: "Cut manual firewall-rule work by ~40% across enterprise estates.",
period: "2022 - 2024",
details: [
"Wrote scripts to push and validate firewall rule updates across multiple devices.",
"Reduced manual ticket cycle time and configuration drift.",
"Improved rule consistency across Telstra Global's hybrid environments.",
],
stack: ["Python", "Shell", "Firewalls", "Automation"],
},
{
id: "malicious-url",
era: "Undergrad",
title: "Malicious URL Detection (ML)",
tagline: "Final-year ML project classifying URLs as safe vs malicious.",
period: "Nov 2020 - Feb 2021",
details: [
"Led a team during lockdown to build, train and evaluate the classifier.",
"Engineered URL features and benchmarked multiple ML models.",
"Presented results in multiple seminars to faculty and peers.",
],
stack: ["Python", "Machine Learning", "Team Lead"],
links: [
{
label: "Research Details",
href: "#research-publications",
},
],
},
{
id: "mask",
era: "Undergrad",
title: "COVID Face Mask Detection",
tagline: "Computer vision classifier on a custom dataset.",
period: "Mar 2020 - May 2020",
details: [
"Built a face-mask detector with a friend-collected custom dataset.",
"Iterated remotely during the early pandemic.",
],
stack: ["Python", "ML", "Computer Vision"],
},
{
id: "eeg",
era: "Undergrad",
title: "Emotion Recognition from EEG Signals",
tagline: "Internship concept project applying ML to EEG.",
period: "Dec 2019",
details: [
"Explored ML approaches for classifying emotions from EEG signals.",
"Collaborated with multi-location team and a hackathon.",
],
stack: ["Python", "ML", "Signal Processing"],
},
];
const researchDetails = [
"Presented at BIGS 2025 and published for SWDSI 2026.",
"Built around AI-driven malicious URL detection using deep learning and BERT architecture.",
"Connects cybersecurity experience with machine learning research and business analytics storytelling.",
"Shows research writing, model evaluation, and technical presentation experience.",
];
function HuggingFaceMark() {
return (
<span className="flex h-5 w-5 items-center justify-center rounded-md bg-amber-100 text-xs font-black text-amber-700">
HF
</span>
);
}
const workLinks = [
{
label: "LinkedIn",
href: LINKEDIN_URL,
note: "career profile",
icon: <Linkedin className="h-5 w-5" />,
},
{
label: "GitHub",
href: GITHUB_URL,
note: "code projects",
icon: <Github className="h-5 w-5" />,
},
{
label: "Hugging Face",
href: HUGGING_FACE_URL,
note: "AI work",
icon: <HuggingFaceMark />,
},
{
label: "Research Paper",
href: "#research-publications",
note: "BIGS & SWDSI",
icon: <FileText className="h-5 w-5" />,
},
];
const eraColors: Record<Project["era"], string> = {
"UNT - Graduate": "bg-accent/15 text-accent border-accent/30",
Accenture: "bg-chakra/15 text-chakra border-chakra/30",
Undergrad: "bg-navy/10 text-navy border-navy/20",
Independent: "bg-emerald-600/10 text-emerald-700 border-emerald-600/25",
};
export function FeaturedProjectsSection() {
const [open, setOpen] = useState<string | null>(null);
const [researchOpen, setResearchOpen] = useState(false);
return (
<section id="projects" className="py-24">
<div className="mx-auto max-w-6xl px-6">
<div className="flex items-end justify-between flex-wrap gap-4">
<div>
<p className="font-display text-accent text-2xl tracking-widest">PROJECTS</p>
<h2 className="mt-2 font-display text-5xl text-navy">Featured Work</h2>
</div>
<p className="text-sm text-muted-foreground max-w-sm">
Hover or tap a card to read the story behind it.
</p>
</div>
<div className="mt-8 grid gap-3 sm:grid-cols-2 lg:grid-cols-4">
{workLinks.map((link) => (
<a
key={link.label}
href={link.href}
target={link.href.startsWith("#") ? undefined : "_blank"}
rel={link.href.startsWith("#") ? undefined : "noreferrer"}
className="group flex items-center justify-between gap-3 rounded-2xl border border-border bg-card px-4 py-4 text-left transition-all hover:border-accent/45 hover:bg-accent/10 hover:shadow-lg hover:shadow-accent/10"
>
<span className="flex items-center gap-3">
<span className="flex h-10 w-10 items-center justify-center rounded-xl border border-border bg-background text-navy transition-colors group-hover:border-accent/35 group-hover:text-accent">
{link.icon}
</span>
<span>
<span className="block font-display text-xl leading-none text-navy">{link.label}</span>
<span className="mt-1 block text-xs uppercase tracking-[0.14em] text-muted-foreground">
{link.note}
</span>
</span>
</span>
<ExternalLink className="h-4 w-4 text-muted-foreground transition-colors group-hover:text-accent" />
</a>
))}
</div>
<motion.div
id="research-publications"
role="button"
tabIndex={0}
onClick={() => setResearchOpen((current) => !current)}
onKeyDown={(event) => {
if (event.key === "Enter" || event.key === " ") {
event.preventDefault();
setResearchOpen((current) => !current);
}
}}
onMouseEnter={() => setResearchOpen(true)}
onMouseLeave={() => setResearchOpen(false)}
layout
className={`group mt-8 cursor-pointer rounded-2xl border bg-card px-6 py-5 shadow-sm transition-all ${
researchOpen ? "border-accent shadow-xl shadow-accent/10" : "border-accent/25 hover:border-accent/40"
}`}
>
<div className="flex flex-col gap-3 md:flex-row md:items-center md:justify-between">
<div>
<p className="font-display text-2xl text-navy">Research Publications</p>
<p className="mt-1 text-sm text-foreground/75">
AI-Driven Malicious URL Detection using Deep Learning and BERT Architecture.
</p>
</div>
<span className="inline-flex w-fit rounded-full border border-accent/30 bg-card px-4 py-2 text-xs font-semibold uppercase tracking-[0.16em] text-accent">
Published at BIGS 2025 & SWDSI 2026
</span>
</div>
<AnimatePresence initial={false}>
{researchOpen && (
<motion.div
key="research-details"
initial={{ opacity: 0, height: 0 }}
animate={{ opacity: 1, height: "auto" }}
exit={{ opacity: 0, height: 0 }}
transition={{ duration: 0.25 }}
className="overflow-hidden"
>
<ul className="mt-5 grid gap-2 text-sm text-foreground/80 md:grid-cols-2 list-disc list-inside">
{researchDetails.map((detail) => (
<li key={detail}>{detail}</li>
))}
</ul>
</motion.div>
)}
</AnimatePresence>
</motion.div>
<div className="mt-12 grid sm:grid-cols-2 lg:grid-cols-3 gap-5">
{projects.map((p) => {
const isOpen = open === p.id;
const projectLinks =
p.links ?? [
{
label: "Request Details",
href: `mailto:${CONTACT_EMAIL}?subject=${encodeURIComponent(`Project details: ${p.title}`)}`,
},
];
return (
<motion.div
key={p.id}
role="button"
tabIndex={0}
onClick={() => setOpen(isOpen ? null : p.id)}
onKeyDown={(event) => {
if (event.key === "Enter" || event.key === " ") {
event.preventDefault();
setOpen(isOpen ? null : p.id);
}
}}
onMouseEnter={() => setOpen(p.id)}
onMouseLeave={() => setOpen(null)}
layout
className={`group relative text-left rounded-2xl border bg-card p-5 overflow-hidden transition-all ${
isOpen ? "border-accent shadow-xl shadow-accent/10" : "border-border hover:border-accent/40"
}`}
>
<div className="flex items-center justify-between gap-2">
<span className={`inline-block text-xs uppercase tracking-[0.18em] font-semibold rounded-full border px-2 py-0.5 ${eraColors[p.era]}`}>
{p.era}
</span>
<span className="text-xs text-muted-foreground">{p.period}</span>
</div>
<h3 className="mt-3 font-display text-xl text-navy leading-tight">{p.title}</h3>
<p className="mt-2 text-sm text-foreground/75 tracking-wide">{p.tagline}</p>
<AnimatePresence initial={false}>
{isOpen && (
<motion.div
key="details"
initial={{ opacity: 0, height: 0 }}
animate={{ opacity: 1, height: "auto" }}
exit={{ opacity: 0, height: 0 }}
transition={{ duration: 0.25 }}
className="overflow-hidden"
>
<ul className="mt-4 space-y-2 text-base text-foreground/80 list-disc list-inside tracking-wide leading-relaxed">
{p.details.map((d) => (
<li key={d}>{d}</li>
))}
</ul>
<div className="mt-4 flex flex-wrap gap-2">
{projectLinks.map((link) => (
<a
key={link.label}
href={link.href}
target={link.href.startsWith("#") || link.href.startsWith("mailto:") ? undefined : "_blank"}
rel={link.href.startsWith("#") || link.href.startsWith("mailto:") ? undefined : "noreferrer"}
onClick={(event) => event.stopPropagation()}
className="inline-flex rounded-full border border-navy/20 px-4 py-2 text-xs font-semibold text-navy hover:border-accent hover:text-accent transition-colors"
>
{link.label}
</a>
))}
</div>
</motion.div>
)}
</AnimatePresence>
<div className="mt-4 flex flex-wrap gap-1.5">
{p.stack.map((s) => (
<span key={s} className="rounded-md bg-secondary px-2 py-0.5 text-xs font-medium text-secondary-foreground tracking-wide">
{s}
</span>
))}
</div>
<span className="absolute right-4 bottom-4 text-accent text-xs opacity-0 group-hover:opacity-100 transition-opacity">
{isOpen ? "-" : "+"}
</span>
</motion.div>
);
})}
</div>
</div>
</section>
);
}
|