Quantitative Software Developer
Current
Sep 2023 - Present
AeroLeads people directory · profile
Prakhar Thakuria Email & Phone Number
Quantitative Software Developer
at
Daksh Trading
1 work email found
@wellsfargo.com
LinkedIn matched
✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Quantitative Software Developer
Location
Hong Kong, Hong Kong Sar
Company size
Who is Prakhar Thakuria? Overview
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Quick answer
Prakhar Thakuria is listed as Quantitative Software Developer at Daksh Trading, a with 8 employees, based in Hong Kong, Hong Kong Sar. AeroLeads shows a work email signal at wellsfargo.com and a matched LinkedIn profile for Prakhar Thakuria.
Prakhar Thakuria previously worked as Software Engineer Senior Analyst at Wells Fargo and Program Associate at Wells Fargo. Prakhar Thakuria holds Bachelor Of Technology - Btech, Electrical And Electronics Engineering from Indian Institute Of Technology, Madras.
Company email context
Email format at Daksh Trading
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{first}.{last}@wellsfargo.com
86% confidence
AeroLeads found 1 current-domain work email signal for Prakhar Thakuria. Compare company email patterns before reaching out.
Profile bio
About Prakhar Thakuria
Wells Fargo || Adobe || IITM
Listed skills include Deep Reinforcement Learning, Public Speaking, Data Science, Algorithms, and 25 others.
Current workplace
Prakhar Thakuria's current company
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11 roles
Prakhar Thakuria work experience
A career timeline built from the work history available for this profile.
Software Engineer Senior Analyst
Program Associate
Senior Software Engineer
Sep 2022 - Sep 2023
Software Engineer
Dec 2021 - Aug 2023
Tech Intern
Created an end-to-end pipeline to convert raw conversation to labelled data (Selected Prime Utterance to its Intent). Achieved an accuracy bump of 9.47% on 10 across different cross-validation sets over models initially used by Adobe.Build pipeline with concatenated models (adaptive and extractive) for summarization of conversation.Developed a novel Extractive Summarization technique for summarizing customer support chat data.
May 2019 - Jul 2019
Tech Intern
Research and development intern worked on Full-Duplex problem with upcoming 5G Technology.Modeled the Self Interference module for a realistic communication channel that used Machine Learning for noise cancellation. (Includes creating my own library to model OFDM of a signal).Developed an application for simulation; Achieved more than 90 dB SIC and up to 97 dB SINR.
May 2018 - Jul 2018
Envisage Coordinator
Jun 2017 - Jan 2018
Project Coordinator
Te Club
May 2017 - Jan 2018
Project Coordinator
Electronics Club Iitm
Jan 2017 - Nov 2017
Web Developer
Webops Club Iitm
Feb 2017 - Oct 2017
1 education record
Prakhar Thakuria education
FAQ
Frequently asked questions about Prakhar Thakuria
Quick answers generated from the profile data available on this page.
What company does Prakhar Thakuria work for?
Prakhar Thakuria works for Daksh Trading.
What is Prakhar Thakuria's role at Daksh Trading?
Prakhar Thakuria is listed as Quantitative Software Developer at Daksh Trading.
What is Prakhar Thakuria's email address?
AeroLeads has found 1 work email signal at @wellsfargo.com for Prakhar Thakuria at Daksh Trading.
Where is Prakhar Thakuria based?
Prakhar Thakuria is based in Hong Kong, Hong Kong Sar while working with Daksh Trading.
What companies has Prakhar Thakuria worked for?
Prakhar Thakuria has worked for Daksh Trading, Wells Fargo, Adobe, Bigcat Wireless Private Limited, and Shaastra, Iit Madras.
How can I contact Prakhar Thakuria?
You can use AeroLeads to view verified contact signals for Prakhar Thakuria at Daksh Trading, including work email, phone, and LinkedIn data when available.
What schools did Prakhar Thakuria attend?
Prakhar Thakuria holds Bachelor Of Technology - Btech, Electrical And Electronics Engineering from Indian Institute Of Technology, Madras.
What skills is Prakhar Thakuria known for?
Prakhar Thakuria is listed with skills including Deep Reinforcement Learning, Public Speaking, Data Science, Algorithms, C, Assembly Language, Reinforcement Learning, and Microsoft Powerpoint.
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