🚀 About Me
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()
🧠 Current Focus
|
|
💼 Experience Highlights
🔬 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
🛠️ Tech Stack
🏆 Featured Projects
📝 Publications
🌐 Connect With Me
⚡ Fun Fact
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! 🧩
