class FizaJamsheed:
def __init__(self):
self.name = "Fiza Jamsheed"
self.location = "Bengaluru, India"
self.degree = "BCA — AI & Data Science @ Yenepoya University"
self.cgpa = 9.53
self.stack = [
"Python", "JavaScript", "TypeScript", "Dart",
"React.js", "Node.js", "Flutter", "FastAPI",
"TensorFlow", "Scikit-learn", "LangChain",
"MongoDB", "PostgreSQL", "Docker", "AWS"
]
self.currently_learning = [
"Advanced LLM Fine-Tuning & RAG Pipelines",
"Reinforcement Learning for Game AI",
"Cloud-Native Microservices on AWS"
]
self.fun_fact = (
"I built an NLP chatbot that made it to the "
"Vibethon Top 10 out of 200+ teams 🏆"
)
def motto(self):
return "Build systems that think. Ship products that matter."
me = FizaJamsheed()
print(me.motto())
# → Build systems that think. Ship products that matter.Languages
AI / ML
Full-Stack & Mobile
Cloud & DevOps
Databases & Data
🏢 FJ Business Innovatives Pvt. Ltd — Flutter Mobile App Developer · SleepPod · Jan 2025 – Present · Remote
- SleepPod app — built the Flutter mobile app for a railway station sleeping pod platform enabling travellers to book, pay, and check into pods across train stations in India.
- Backend integration — connected to a Node.js/TypeScript backend with OTP-based authentication, JWT session management, and real-time pod availability locking with conflict detection.
- Booking flow — implemented end-to-end booking with payment gateway integration, live pod status updates, and check-in/check-out management.
- State management — engineered Provider and SharedPreferences architecture delivering a smooth offline-capable user experience.
🏢 IBM — AI Systems Engineer Intern · Mar 2026 – Jun 2026 · Remote
- Adaptive NPC AI — built rule-based state machines with real-time behavioural modelling across 4 game levels, improving NPC decision consistency by ~35%.
- Telemetry pipeline — automated player-event ingestion to surface behavioural anomalies in real time; replaced 4-hour manual QA cycles, cutting testing overhead by 40%.
- Difficulty scaling — applied reinforcement learning principles to dynamic difficulty tuning; iterated model parameters weekly with cross-functional engineers and designers.
- Agile delivery — contributed to sprint planning, code reviews, and stakeholder demos in a distributed remote team.
🏢 StudLearning — Software Developer Intern · Jan 2026 – Present · Remote (Part-time)
- Tutoring platform — built a full-stack learning app (React.js / Node.js) serving 500+ student sessions with JWT auth and role-based access control (student, tutor, admin).
- Performance — restructured MongoDB aggregation pipelines, cutting API response latency by 30% under concurrent load.
- CI/CD — configured GitHub Actions for automated testing and zero-downtime deployment on every merge to main.
🏢 Networkers Home — Full-Stack Developer (Contract) · Mar 2026 – Apr 2026 · Hybrid
- AI SaaS tools — shipped 2 production apps (resume generator, content summariser) using OpenAI API, React.js, Node.js; cut content creation time ~70% in user testing.
- API architecture — built REST APIs with OAuth, rate limiting, and error handling; both tools deployed to production with zero post-launch incidents.
🏢 Tata Consultancy Services (TCS iON) — AI/ML Engineer Intern · Nov 2025 – Feb 2026 · Remote
- Emotion classifier — 6-class classifier on 50K+ feedback records (TF-IDF + LR and LSTM); achieved 84% F1-score, outperforming SVM baseline by 11 points.
- NLP pipeline — built a reusable preprocessing module (tokenisation, stopword removal, lemmatisation) adopted across 2 subsequent TCS projects; cut data cleaning time 60%.
- Model evaluation — benchmarked Naive Bayes, SVM, LSTM, Bi-LSTM; delivered comparative report with production deployment recommendation.
- 135-hour accredited programme.
| Project | Stack | Highlights |
|---|---|---|
| 🤖 AI Trip Planner & Communication Bot | Python · spaCy · NLTK · Travel APIs · Intent Classification | Vibethon Finalist — Top 10 / 200+ teams · NLP chatbot with intent classification & entity extraction · Real-time itinerary generation via Travel API · Live demo presented to industry judging panel |
| 😶 Emotion Detection from Textual Feedback | Python · NLTK · spaCy · Scikit-learn · TensorFlow | 84% F1-score (LSTM) on 50K+ records · +11 pts over SVM baseline · Reusable NLP module adopted across 2 TCS projects · Cut data cleaning time by 60% |
| 📊 Sales Performance Dashboard | Power BI · SQL Stored Procedures · Excel | Surfaced 22% Q3 revenue gap across 5 regions from 100K+ records · Replaced 4-hour weekly manual report with automated pipeline — down to 15 minutes |
| Achievement | Details | |
|---|---|---|
| 🥇 | IBM Projects Competition Winner | Recognised for innovation and technical excellence in AI project development |
| 🏆 | Vibethon Hackathon Finalist | Top 10 out of 200+ teams — AI Trip Planner recognised for personalised travel AI |
| 📢 | INCON-SDG 2026 Publication | Published at Yenepoya University International Conference — AI-Driven Cognitive Digital Twins for Human-Centric Decision Making in Smart Cities |
| 🖼️ | IBM Exhibition 2023 — Best Poster Presentation | Awarded for research communication and visual presentation excellence |
| 🌍 | Gavel Clubs Riyadh — Award Winner | International recognition for public speaking and debate |
| 🌱 | Rotaract Club — Community Director | Leading 20+ student volunteers on UN SDG-aligned social impact projects (2025–Present) |
| Degree | Institution | Year | Score |
|---|---|---|---|
| 🎓 BCA — AI & Data Science | Yenepoya (Deemed to be University), Bengaluru | 2023 – 2026 | 9.53 / 10.0 CGPA |
| 📚 Higher Secondary — Science & Mathematics | AMHSS Vengoor, Kerala | 2021 – 2023 | 9.8 / 10.0 CGPA |
🧱 Advanced NLP → LLM Fine-tuning · RLHF · RAG Pipelines · Vector DBs
🎮 Game AI → Reinforcement Learning · Behavioural Modelling · Sim Environments
☁️ Cloud-Native → AWS Lambda · Microservices · Serverless · ECS/EKS
📱 Mobile Performance → Flutter Animations · Native Integrations · App Optimisation
"Build systems that think. Ship products that matter." — Fiza Jamsheed