Aviation Delay Prediction
ML pipeline on the DOT flight-delay dataset — geospatial features, gradient boosting, and neural nets — hit 99.2% accuracy.
Software engineer working at the intersection of AI, data, and systems. Currently building agent orchestration and conversational AI at Oracle.

Based in
Burlington, MA
Est.
2025 —
7
Publications
Journals · preprints · IEEE
3.93
Graduate GPA
Stony Brook / 4.0
9.43
Undergrad GPA
Nirma / 10.0 · Gold
16+
Certifications
Oracle, HackerRank, Coursera
I like problems that sit on the edge of new: complex enough to reward careful thinking, concrete enough to ship something real.
I build production AI systems at Oracle — agent orchestration, tool platforms, and the knowledge layer that powers enterprise conversational AI.
I hold a Master’s in Computer Science from Stony Brook (3.93 / 4.0) and a Gold Medal undergrad from Nirma University. Seven peer-reviewed publications across AI/ML, security, and neuroscience, four Oracle Cloud certifications, and a lasting obsession with clean abstractions.
Off the keyboard: thrillers, long hikes, and the kind of coffee that resents decaf.
Software Engineer
Oracle
Jul 2025–Present
AI Application Intern (prev.)
TalentNow
Jan 2025–May 2025
M.S. Computer Science
Stony Brook University
3.93 / 4.0 · Aug 2023–May 2025
B.Tech. Computer Science & Engineering
Nirma University
9.43 / 10. · Gold Medal · Jul 2019–Jun 2023
harshil1708@gmail.com
Burlington, MA
Eastern time · open to relocation & remote worldwide
Seven roles across research labs, trading firms, an HR-tech scale-up, and now Oracle. Each one taught the next.
Agents, RAG, and the new LLM stack.
Deep learning across research and publications.
Stats, modeling, narrative from numbers.
The tools I reach for.
Services and data plumbing.
Ship it, keep it running.
Enough to build portfolios like this one.
A rotating showcase of systems built across research, ML, and full-stack. The GitHub is the receipt.
ML pipeline on the DOT flight-delay dataset — geospatial features, gradient boosting, and neural nets — hit 99.2% accuracy.
Real-time competitive programming platform with live contests, dynamic rankings, and Codeforces API sync.
End-to-end modeling for equity trend forecasts — HistGradientBoosting outperforming the baseline suite.
Automated data processing for neuroscience research — FreezeFrame and Graphic State experiments.
Real-time chat app with auth, emoji, and clean UX — React on the front, Node on the back.
Desktop examination management system with tracking, attendance, and result reporting.
Seven publications across AI/ML, security, and computational neuroscience — from IEEE conferences to Wiley journals and bioRxiv preprints.
J. Iqbal, S. Kim, S. Lawal, A. Shah, L. Punepalle, H. Sanghvi, A. Gallagher, A. Wilson, B. Xu, P. Shrestha
bioRxiv
Identifies how the prelimbic cortex schedules cap-independent translation to stabilize threat memory over time.
Shrestha Lab · Stony Brook University
bioRxiv
A single-episode DSAA paradigm that dissociates acquisition, consolidation, and retrieval of instrumental avoidance memory.
H. Sanghvi, R. Bhavsar, V. Hundlani, L. Gohil, et al.
Security and Privacy · Wiley
Lead author on a blockchain + deep learning framework for moderating hate speech in immersive metaverse gaming.
D. Patel, H. Sanghvi, N. K. Jadav, R. Gupta, S. Tanwar, et al.
Mathematics · MDPI
A federated deep-learning + blockchain pipeline for real-time detection of malicious activity across public-safety sensors.
H. Sanghvi, S. H. Mankad
IEEE Region 10 Conference (TENCON)
XGBoost + recursive feature elimination for replay-attack detection in speaker verification systems.
H. Sanghvi, S. Chaudhary, S. H. Mankad
International Conference · Springer
Emotion-aware distress detection pipeline that cuts response time for emergency audio triage.
P. Gajjar, P. Shah, H. Sanghvi
International Conference on Ubiquitous Computing · Springer
Data-augmentation + siamese embedding approach that improves musical key estimation across genres.
Also reviewed for
Peer review roles across leading AI and ML venues.
Wiley
AI security & applied ML
Nov 2025
IEEE
Applied ML & systems
Jul 2022
Full list, citations, and h-index tracked on Google Scholar.
Google ScholarCertifications, research, and academic milestones — the artifacts that prove the work.
Nirma University
Stony Brook University
Wiley · MDPI · IEEE · Springer · bioRxiv
Nirma University
Ranked #1 across the Computer Science & Engineering department. 9.43 / 10 CGPA.
Stony Brook University
Maintained 3.93 / 4.0 across the M.S. Computer Science program.
Wiley · MDPI · IEEE · Springer · bioRxiv
Peer-reviewed work spanning AI/ML, security, and computational neuroscience.
Oracle
OCI 2025 certified in advanced data science and production ML.
View credential ↗Oracle
OCI 2025 certified in generative AI systems and applications.
View credential ↗Oracle
Foundational certification on OCI AI services and architecture.
View credential ↗Oracle
Certified in vector search and AI-powered retrieval on OCI.
View credential ↗Coursera
Neural Networks, Deep Learning, and Hyperparameter Tuning.
Udemy
Version control fundamentals and collaboration workflows.
Stony Brook University
Certification in problem solving, critical thinking, resourcefulness.
Stony Brook University
Cross-team collaboration and accountability certification.
HackerRank
Programming fundamentals and language certification.
HackerRank
Basic and intermediate SQL certifications.
HackerRank · Coursera
Multiple Python certifications across platforms.
HackerRank · Spoken Tutorial
Basic and intermediate certifications plus problem-solving.
From managers, colleagues, and mentors — via LinkedIn.
I had the pleasure of managing Harshil during his time as an AI Application Intern at TalentNow. From day one, he dove into our AI initiatives with curiosity and drive, quickly mastering new frameworks and languages to which he'd never been exposed before. His thoughtful approach and attention to detail led to marked improvements in both the efficiency and accuracy of our models and pipelines. Beyond his technical acumen, Harshil is a proactive collaborator — eager to take on new challenges, ask the right questions, and share insights that elevate the whole team.
I am writing to recommend Harshil, who served as an R&D Intern under my supervision at Johnson Controls Hitachi. We worked closely together on algorithm development. I was constantly amazed not only by his technical skills, but also by his ability to keep the team motivated. Harshil's performance during his internship was exceptional. For any company or team that needs a proven engineer with a get-it-done-with-a-smile approach, Harshil is your guy.
Harshil has a really inquisitive, proactive and problem solving mind. During his internship he has done a fabulous work for Northerntrust on the classification and cognitive search model. He has great technical skills and his desire to keep learning is commendable.
I read every message. Collaborations, research chats, or just a friendly hello — all welcome.
harshil1708@gmail.com
Phone
+1 (631) 633-6863
in/harshilsanghvi
GitHub
@harshil-sanghvi
Location
Burlington, Massachusetts
EST/EDT · open to relocation & remote