Who is Tarun Raheja? Overview
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Tarun Raheja is listed as AI Resident at Accel, based in San Francisco, California, United States. AeroLeads shows a work email signal at upenn.edu and a matched LinkedIn profile for Tarun Raheja.
Tarun Raheja previously worked as Founding ML Engineer at Kipo Ai and Machine Learning Research Intern at Cisco. Tarun Raheja holds Master'S Degree, Scientific Computing from University Of Pennsylvania.
Email format at Accel
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AeroLeads found 1 current-domain work email signal for Tarun Raheja. Compare company email patterns before reaching out.
About Tarun Raheja
https://tehruhn.github.io/
Tarun Raheja's current company
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Tarun Raheja work experience
A career timeline built from the work history available for this profile.
Founding Ml Engineer
Current
Machine Learning Research Intern
Worked on controllable generation in large language models ( LLMs ).Built Prompt Layer for internal LLM Gateway} project.Led project on a novel reasoning algorithm for LLMs, via classification. Submitted to a prominent conference in NLP.
Research Projects Programmer
Quantitative Research Analyst
Worked on developing mathematical pricing and volatility models (and adjacent infrastructure) for linear and nonlinear rates derivatives products.
Founding Engineer
Research Assistant (Advised By Dr. Neill Lambert At Prof. Franco Nori'S Group)
• Worked on developing the open source QuTiP library.• Worked on developing an open source library to model Open Quantum Systems using HEOM to model the environment as a mixture offermionic and bosonic baths, with Dr. Neill Lambert.• Worked on studying Exceptional Points and exotic properties of large non-hermitian systems using a novel algorithm developed by me, withDr. Fabrizio Minganti.• Worked on optimizing Noisy Mean Field Annealing for NP hard problems using ideas from quantum thermodynamics, with Dr. Neill Lambert,Dr. Clemens Gneiting, and Dr. Ken Funo.• Was invited to IBM’s camp. Worked with Dr. Rudy Raymond from IBM Research to develop a quantum overlapping tomography module usingthe idea of perfect hash families based on Frank Wilczek’s paper. Studied quality of entanglement in IBM’s machines.
Quantitative Developer
• Worked on statistical analysis of returns of several strategies for trading crypto derivatives.• Developed a package for internal use, and conducted deep-dive quantitative work into tracker strategies.• Presented research to institutional investors, including leading hedge fund managers.
Research Intern
• Worked under Dr. Karthik Ramachandra, at Microsoft Research India, Bengaluru on Project Froid• Implemented fix to a part of Froid that improved conditional diamond processing from exponential to linear• Contributed to the open source Ibis repo, implemented an adapter to MSSQL• Worked on PyFroid
Bachelor Thesis (Advised By Prof. Sreejith Gj)
• Broadly worked on Matrix Product States and DMRG• Freshly extended and implemented DMRG to Hermitian matrices representing new types of physical systems called Potts Models• Worked on Unitary Time Evolution of Hamiltonians using Trotter Gates• Explored some ideas from quantum computing and information theory
Research Consultant
• Developed market-neutral, medium-frequency Alphas that predict future stock returns• Acquired basic knowledge of financial instruments, and investigated and implemented recent academic research• Developed algorithms to filter and combine Alphas
Acm Summer School Select, Cryptology Research
• Was shortlisted by ACM India from a national pool of applicants to attend (top 100)• Attended talks on contemporary cryptology research by, and worked alongside leading Indian cryptographers
Data Science Intern
• Developed Natural Language Processing modules for an on-device, locally available voice recognition interface• This entailed Morphological Segmentation of text corpora, Coreference Resolution of expressions, Sentiment Analysis of input text and hierarchical representation of concepts to compute similarityUsed PostgreSQL, Scikit-learn, StanfordCoreNLP, Numpy, Pandas, BeautifulSoup, ElasticSearch, NLTK along with some other proprietary services
Tarun Raheja education
Master'S Degree, Scientific Computing
Bachelor Of Engineering, Computer Science
Class Xii (Cbse), Pcm
Class X (Cbse)
Frequently asked questions about Tarun Raheja
Quick answers generated from the profile data available on this page.
What company does Tarun Raheja work for?
Tarun Raheja works for Accel.
What is Tarun Raheja's role at Accel?
Tarun Raheja is listed as AI Resident at Accel.
What is Tarun Raheja's email address?
AeroLeads has found 1 work email signal at @upenn.edu for Tarun Raheja at Accel.
Where is Tarun Raheja based?
Tarun Raheja is based in San Francisco, California, United States while working with Accel.
What companies has Tarun Raheja worked for?
Tarun Raheja has worked for Accel, Kipo Ai, Cisco, Linguistic Data Consortium, and Jpmorgan Chase & Co..
How can I contact Tarun Raheja?
You can use AeroLeads to view verified contact signals for Tarun Raheja at Accel, including work email, phone, and LinkedIn data when available.
What schools did Tarun Raheja attend?
Tarun Raheja holds Master'S Degree, Scientific Computing from University Of Pennsylvania.
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