class AatmajSalunke:
def __init__(self):
self.name = "Aatmaj Amol Salunke"
self.education = {
"Masters": "Artificial Intelligence @ Northeastern University",
"Bachelors": "Computer Science & Engineering @ Manipal University Jaipur"
}
self.experience = [
"CMU Research Assistant",
"AI Quant Finance Engineer @ Borealis Global Analytics",
"Graduate RA @ DMSB AI Strategic Hub (NEU)",
"ISRO Scientific Researcher",
"Adobe Campus Ambassador"
]
self.interests = ["Machine Learning", "Deep Learning", "NLP",
"Computer Vision", "Reinforcement Learning", "Autonomous Agents"]
self.currently_learning = "Advanced AI Techniques for Real-world Applications"
self.looking_for = "Internship Opportunities (May 2026 - Aug 2026)"
self.pronouns = "he/him"
def say_hi(self):
print("Thanks for dropping by! Let's collaborate on something innovative!")
me = AatmajSalunke()
me.say_hi()
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🔬 Research Assistant, Carnegie Mellon University
CryoSAM Implementation for Cryo-Electron Tomography Analysis
- Developed a Python implementation of CryoSAM, integrating Meta's Segment Anything Model (SAM) with DINO self-supervised learning to enable automated 3D particle segmentation in cryo-electron tomography datasets
- Achieved 95%+ confidence scores on real HIV particle detection
- Built comprehensive data processing pipelines handling MRC/tomogram files, implemented 3D propagation algorithms for volumetric segmentation
- Created visualization tools for analyzing protein structures at nanometer resolution in noisy CryoET data
📈 AI Quant Finance Engineer Intern, Borealis Global Analytics
- Engineered scalable analytics and AI solutions with retrieval-augmented generation (RAG) to analyze large volumes of user and financial data
- Significantly improved user engagement, decision-making accuracy, and proprietary financial knowledge discoverability
- Contributed formal technical documentation and research publications
- Led development of a scalable AI-based forecasting system using coordinated autonomous components and global sentiment data
- Generated country-level investment insights, achieving multi-fold performance improvements through optimized execution
🎓 Graduate Research Assistant, DMSB AI Strategic Hub (DASH)
- Applied AI & Autonomous Systems Engineer at the D'Amore-McKim School of Business at Northeastern University
- Developing cutting-edge AI solutions for business applications
🛰️ Scientific Research Intern, ISRO
- Worked in SIPG Department at SAC, enhancing satellite-based weather prediction algorithms
- Advanced signal and image processing techniques for earth observation
🎨 Campus Ambassador, Adobe @ Northeastern University
- Leading efforts across campus to raise awareness of Adobe's creative tools by organizing hands-on workshops, peer-learning sessions, and pop-ups
- Collaborating with student groups, academic departments, and creative clubs to integrate Adobe's tools into campus life
- Building a community focused on creativity, innovation, and peer support
🌿 Research Intern, NIT Trichy
- Specialized in Machine Learning applications for the Plants and Botany sector
- Contributed to three research projects on plant tagging and document recommendation systems
🚦 ML Engineer Intern, WictroniX
- Contributed to a Government of Gujarat project on traffic and vehicle analysis
- Improved transportation systems through computer vision and ML
📊 Data Science Intern, Celebal Technologies
- Gained hands-on experience in data analysis, modeling, and visualization for real-world projects
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RAG-based financial insights system leveraging FinBERT, FAISS & LangChain 📊 85% higher retrieval accuracy |
AI-driven grocery shopping platform built during Innovate 2025 Hackathon 🎯 Reduced manual shopping effort by 50-60% |
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3D particle segmentation for cryo-electron tomography using SAM + DINO ✅ 95%+ confidence on HIV particle detection |
Coordinated autonomous agents for country-level investment insights 🌍 Global sentiment analysis |
| Publication | Topic |
|---|---|
| 📄 Deep Learning-Based Satellite Image Analysis | Predicting Land Surface Temperature and Emissivity |
| 📄 OTPLM: Ontology-Driven Plant Tagging | Hybrid Semantics and Strategic Learning |
| 📄 Enhancing Urban Traffic Management | Predictive Modelling and Drone-Captured Image Analysis |
When I'm not coding or exploring AI algorithms, you can find me capturing moments through my 📸 camera, hitting the trails as a 🏃 trail runner, or planning my next adventure as a fanatic traveler 🌍 – always chasing new experiences! 🧩
