"Designing intelligence — from behavioral trajectories to autonomous agents to the quantum edge."📍 Pune, India | 🎓 B.Tech CSE (AI/ML) · CGPA 9.1 | 🏆 2× Published Researcher | ⚡ 4× Award Winner
class LakshitSaini:
"""
Third-year AI/ML Engineer who doesn't just study intelligence —
he builds it, publishes it, and ships it to production.
Now extending the stack into the quantum regime.
"""
identity = "AI Engineer × Researcher × Builder"
university = "DY Patil International University, Pune"
cgpa = 9.1 / 10
current_obsessions = [
"Hybrid LSTM–Diffusion architectures for human-like synthesis",
"Agentic LLM systems with multi-agent orchestration",
"Quantum ML: variational circuits for hybrid quantum-classical models",
"Quantum Federated Learning: privacy-preserving distributed QML",
"Speech disfluency detection via self-supervised learning",
"AI security: prompt injection & adversarial robustness",
]
research_mission = """
Bridge cutting-edge ML research and real-world production systems —
and probe what quantum computation adds when classical hits its ceiling.
"""
superpower = "Turning research ideas into IEEE-quality papers AND live demos"
fun_fact = "Built a bot-evasion system so human-like it fooled 100% of detectors 🤫"
 2 Publications IEEE · IJSREM |
 4 Awards National · State · University |
 6 Projects Research + Production |
 212,568 Samples Custom behavioral dataset |
My newest research direction: pushing machine learning beyond classical limits. I'm building intuition and prototypes around hybrid quantum–classical models and privacy-preserving distributed learning — the natural next layer on top of my diffusion, agentic, and behavioral-AI work.
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⚛️ Quantum Machine Learning
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🔐 Quantum Federated Learning
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🟣 Active learning & prototyping track — not yet published. Open to research collaboration in this space.
🧠 AI / ML / Deep Learning
🤖 LLM & Agentic AI
⚛️ Quantum & Emerging
💻 Languages, APIs & Infrastructure
🎯 Computer Vision & Signal Processing
🧠 MIMIC — Hybrid LSTM–Diffusion Trajectory Synthesis
The research that didn't just pass academic review — it fooled bot detectors.
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Problem: Existing motion synthesis models are either too rigid (LSTM) or too noisy (pure diffusion) to produce convincingly human-like behavioral trajectories. Innovation: A hybrid architecture where an LSTM encodes contextual priors that condition a residual DDPM diffusion model — combining sequential memory with stochastic refinement. Results:
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Status: 📝 IEEE Submission In Progress
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🔍 InsightCrew — Multi-Agent Research & Content Engine
Three agents. One goal. Zero manual research.
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Problem: Research synthesis and content generation require hours of parallel, context-aware work — impossible for a single LLM call. Innovation: A sequential 3-agent CrewAI pipeline (Researcher → Analyst → Writer) powered by Gemini 2.0 + Tavily RAG for real-time web context injection. Impact:
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📈 StonkSensei — Agentic LLM Financial Intelligence System
Real-time financial intelligence, dual-agent architecture, streaming inference.
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Problem: Financial analysis requires aggregating real-time data, news, and quantitative reasoning simultaneously — a perfect multi-agent problem. Innovation: Dual-agent phidata system with Groq's Impact:
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🗣️ Speech Disfluency Detection & Remediation
Fine-tuning self-supervised speech models for clinical-grade stutter detection.
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Problem: Automated disfluency detection for real-world accessibility systems requires robustness across noise conditions and accurate classification of subtle speech patterns. Innovation: Fine-tuned Wav2Vec 2.0 on SEP-28k for 5-class disfluency detection + a Whisper-aligned remediation pipeline with acoustic robustness validation. Results:
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Status: 🔬 Active Research
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🤟 SignSpeakAI — Real-Time Sign–Speech Translation
Making communication barrier-free with multimodal AI.
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Innovation: Bidirectional multimodal pipeline — MediaPipe + LSTM for Sign-to-Speech, and a Speech-to-Sign TTS module — with multilingual support and modular CV/NLP architecture. Impact: Real-time, low-latency accessible HCI interaction across multiple languages. |
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🛰️ INR-AD — Anomaly Detection via Implicit Neural Representations
SIREN networks meet satellite telemetry.
Unsupervised anomaly scoring on SMAP satellite telemetry using a SIREN architecture (implicit neural representations). Fully modular, reproducible codebase with benchmarked results.
SIREN Anomaly Detection Satellite Telemetry Unsupervised Learning
| 📘 |
Exploring the Landscape of AI Security: A Taxonomy Review on Prompt Injection and Jailbreaking NCTAAI 4.0 National Conference Proceedings · May 2025 A systematic taxonomy of prompt injection and jailbreaking attack mechanisms across large language models, analyzing adversarial implications for AI safety in Industry 4.0 contexts — cybersecurity and autonomous systems.
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| 📗 |
Enhancing Predictive Maintenance in Smart Home Devices using AI/ML on Microcontrollers International Journal of Scientific Research in Engineering and Management (IJSREM) · October 2024 On-device ML deployment for real-time fault detection in resource-constrained IoT microcontrollers, reducing cloud inference dependency with edge AI methodology.
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| 📙 |
MIMIC: Hybrid LSTM–Diffusion Model for Human-Like Mouse Trajectory Synthesis (Under Submission) Hybrid LSTM prior + conditional residual DDPM for context-aware behavioral trajectory generation. JSD = 0.1478, 100% bot-evasion rate. Targeting IEEE Transactions on Biometrics, Behavior and Identity Science.
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Research Interests
LLM Security & Adversarial AI · Generative Models · Speech ML · Behavioral Biometrics
Agentic Systems · Quantum ML & Quantum FL · Edge AI / TinyML · Implicit Neural Representations
| 🥇 | Achievement | Issuer | Year |
|---|---|---|---|
| 🎓 | Academic Excellence Scholarship | DY Patil International University | 2026 |
| 🏆 | 1st Rank — Ideathon 2025 | DY Patil International University | Nov 2025 |
| 📜 | Research Paper Award | NCTAAI 4.0 · ICEM National Conference | Mar 2025 |
| 🥇 | 1st Rank — State-Level Research Paper Competition | MITACSC | Dec 2024 |
⚡ Recent Activity (auto-updates daily via GitHub Actions)
- 💪 Opened PR #31544 in numpy/numpy
2023 ──────────────────────────────────────────────────────────────── 2027
│
├─── Aug 2023 ──▶ 🎓 B.Tech CSE (AI/ML) · DY Patil International University
├─── Oct 2024 ──▶ 📗 Published: Predictive Maintenance on Microcontrollers · IJSREM
├─── Dec 2024 ──▶ 🥇 1st Rank · State-Level Research Paper · MITACSC
├─── Mar 2025 ──▶ 📘 Research Paper Award · NCTAAI 4.0 · ICEM
├─── Feb–May 2025 ▶ 🤟 SignSpeakAI · Multimodal Sign–Speech Translation
├─── May 2025 ──▶ 🤖 InsightCrew · Multi-Agent Research Engine (Production)
├─── May 2025 ──▶ 💼 Software Engineering Intern · Dexpert Systems Pvt. Ltd.
├─── May 2025 ──▶ 📈 StonkSensei · Agentic Financial Intelligence System
├─── Nov 2025 ──▶ 🧠 MIMIC Research Started · Hybrid LSTM-Diffusion
├─── Nov 2025 ──▶ 🏆 1st Rank Ideathon 2025 · DY Patil International University
├─── Jan 2026 ──▶ ✅ MIMIC Complete · JSD=0.1478 · 100% Bot Evasion
├─── Jan 2026 ──▶ 🗣️ Speech Disfluency Detection Research · Active
├─── 2026 ─────▶ ⚛️ Quantum ML & Quantum FL · Exploration Track Begun
├─── 2026 ─────▶ 🎓 Academic Excellence Scholarship · DY Patil International University
└─── 2027 ─────▶ 🚀 B.Tech Graduation · Ready to build the future
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🚀 Currently Building
📚 Researching
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🎯 Currently Learning
🤝 Open to Collaborate On
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Model Architecture: Lakshit-v3.2-Researcher-Builder
Training Data:
- 2+ years of AI/ML coursework & self-study
- 212,568 custom behavioral motion samples (self-collected)
- 2 published research papers
- 6 production/research projects shipped
Activation Functions:
- Curiosity-driven exploration
- Research-first problem solving
- Production-grade output standards
Loss Function: Cross-entropy between "what exists" and "what should exist"
Optimizer: Gradient descent on impact
Regularization: Academic rigor + real-world validation
Next Layer: Quantum-classical hybrid (training...)
Status: 🟢 TRAINING IN PROGRESS — Expected convergence: Aug 2027
