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Vetted Talent

Devansh Sood

Vetted Talent

With over 5.5 years of experience as a Software/ML Engineer, I excel in Python, JavaScript, React.js, and Next.js, and have integrated ML models using libraries like TensorFlow and PyTorch. I've designed and maintained backend systems, developed APIs, and implemented data ingestion pipelines on Google Cloud. My project work includes developing ML-based solutions for name similarity verification, facial recognition, and demand forecasting. I bring a customer-focused mentality, translating business ideas into engineering solutions, and am proficient in prompt engineering, NLP, LLMs, and integrating third-party APIs, making me an ideal fit for your core development team. Let's collaborate to achieve together!

  • Role

    Fractional CTO/ Tech Consultant and freelance contractor

  • Years of Experience

    6.8 years

Skillsets

  • Python - 5.9 Years
  • Django - 5.5 Years
  • Flask - 4 Years
  • FastAPI - 3 Years
  • MySQL - 5 Years
  • Bash
  • Kafka
  • LLM
  • NLP
  • PyTorch
  • React.js
  • REST
  • Shell Scripting
  • Spark
  • TensorFlow

Vetted For

7Skills
  • Roles & Skills
  • Results
  • Details
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    Senior Backend Developer - PythonAI Screening
  • 70%
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  • Skills assessed :Database architecture, System Architecture, React Js, JavaScript, Python, REST API, Type Script
  • Score: 14/20

Professional Summary

6.8Years
  • Jun, 2024 - Present1 yr 8 months

    Fractional CTO/ Tech Consultant and freelance contractor

    Self Employed
  • Jul, 2022 - May, 20241 yr 10 months

    Senior Software Developer

    Leegality
  • Aug, 2021 - Jul, 2022 11 months

    Software Developer

    Leegality
  • Jan, 2019 - May, 20201 yr 4 months

    Software Developer

    Nineleaps Technology Solutions
  • May, 2020 - Jul, 20211 yr 2 months

    Software Developer

    Quadeye Securities

Applications & Tools Known

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    React

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    REST API

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    Python

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    Django

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    Django REST framework

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    FastAPI

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    Machine Learning

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    MySQL

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    MongoDB

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    Bash

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    Kafka

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    Slack

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    Spark

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    Apache Kafka

Work History

6.8Years

Fractional CTO/ Tech Consultant and freelance contractor

Self Employed
Jun, 2024 - Present1 yr 8 months
    Partnering with founders to define product architecture, tech strategy, and execution plans. Building robust, scalable products that help startups move from prototype to market validation. Leading development across backend, frontend, and infrastructure with a focus on speed and maintainability. Setting up tech foundations, reviewing architecture, and mentoring engineering teams for long-term success. Acting as a strategic technology partner to help seed-funded startups align technical direction with business goals.

Senior Software Developer

Leegality
Jul, 2022 - May, 20241 yr 10 months
    Led a team in the creation of templates with an integrated document editor, streamlining the contract drafting process. Spearheaded the development and implementation of workflow-based negotiation solutions, enhancing efficiency and saving valuable time for business teams. Designed and oversaw the development of an intuitive platform tailored for use by legal and business teams, emphasizing usability and accessibility. Consolidated multiple functionalities into a single platform, eliminating the need for separate tools for drafting, editing, negotiation, search, storage, analytics, and e-signature. Used Python Django for scalable backend, React for seamless frontend, MySQL for data management, Kafka for real-time processing. Implemented Random Forest using PyTorch for name similarity. Implemented LSTM using TensorFlow for gender prediction.

Software Developer

Leegality
Aug, 2021 - Jul, 2022 11 months
    Created a microservice for the Stamp Panel dashboard which helps various employees to process and deliver digital stamp papers to vendors. Built a single-place platform for all the teams involved in procuring stamp paper. Developed a Cart Facility feature for adding and removing Stamp papers that need to be ordered. Implemented Payment and Invoice generation to vendors. Added recording and tracking of all courier-related information. In Stamp Panel's OCR, NLP and LLM techniques are utilized to enhance text recognition accuracy, interpret contextual information, and validate extracted stamp IDs and document IDs from scanned stamp papers for precise digital mapping and processing.

Software Developer

Quadeye Securities
May, 2020 - Jul, 20211 yr 2 months
    Created a dashboard using Django and React which helps the strategy monitor to view and handle all the errors of running strategy from a single platform. Created an Error Management System which has reduced monitor's dependency on slack. Part of ERT (Emergency Response Team). Created an approval system as a security check which allows traders to raise multi-level tickets to make changes in parent strategy. Worked on automation and optimization of recon scripts to keep track of daily selling and buying of stocks using Django, Python, and Bash. Handling reconciliation issues for multiple accounts. Optimized scripts and automated regions for recon.

Software Developer

Nineleaps Technology Solutions
Jan, 2019 - May, 20201 yr 4 months
    Worked on Long Range Forecast to predict sales for the next 5 years using Python and Spark. Developed Store Demand Forecast to predict stock required for each item dynamically in each store according to previous sales and discounts data. Successfully reduced running time of store demand prediction by 50%.

Achievements

  • The project was beneficial for the firm. It has reduced working time and manpower by 60%. Removed The frequent follow-ups from other teams.
  • Successfully Automated recon of 3 regions.
  • Was able to reduce the running time of pre-build scripts by 35 to 40%.
  • Successfully reduced running time of store demand prediction by 50%
  • Client was able to save almost 10 to 15% of their cost per annum via data calculated.
  • The project was beneficial for the firm. It has reduced working time and manpower by 60%.
  • Removed The frequent follow-ups from other teams.
  • Before the dashboard, on-duty monitor had to check multiple slack channels in order to check for errors due to which 3 out of 10 errors get unnoticed. With the help of this dashboard, frequency has been reduced to 1 out of 20.
  • The project at Leegality was beneficial for the firm, reducing working time and manpower by 60%.
  • Successfully reduced the frequency of unchecked errors at Quadeye from 3 out of 10 to 1 out of 20.
  • Automated reconciliation of 3 regions at Quadeye, reducing running time of pre-build scripts by 35 to 40%.
  • Reduced the running time of store demand prediction at Nineleaps by 50%, allowing the client to save almost 10 to 15% of their cost per annum.

Major Projects

3Projects

GeekTees

    Developed an E-commerce site for selling apparel related to developers. Implemented cart, wishlist, payments via RazorpayX, and admin page for inventory control.

ContactSync

    Automated tool to create contacts in your phone using Google Contacts when a form is filled. Avoids manual contact creation by saving information directly to the database.

Where's my Bus

    Bus tracking system that helps users check the estimated time of arrival at the nearest bus stop.

Education

  • B.Tech: Computer Science And Engineering

    Manipal University Jaipur (2019)

Interests

  • Driving
  • Learning
  • Photography

    • AI-interview Questions & Answers

    So hi. Myself, Divan, so and, I'm working as a software developer. From past 5 years. Approximately, it's 5.5 years now. So previously, my last company, was Legality. I was working as a senior software developer there. My major roles include leading a team. A court review, creating a system architecture for back end applications. Getting it And streamlining the process and communicating with other So

    Okay. So and I think the spikes and got blocked and then find the design pattern use and. Okay. Space notify. Design message. Okay. Okay. So, basically, in this code, we have declared a class, which is a base class that is base notifier. And we are, uh, we have defined the function in that, which is send message. So what we are doing here, we are, uh, taking another class email notifier, and it's inheriting from the base notifier. Similarly, we are taking SMS notify. It's, uh, inheriting from the base notifier. And every time we need to, uh, send a message, uh, we are overriding, uh, the base notifiers, uh, send message function. So rather than doing that, what we can do, uh, when we have inherited the base notify class, we can directly call the email notifier or SMS notify class, uh, in our code. And, uh, directly, after calling, uh, these classes, we can directly, uh, call this, uh, send message function, uh, from the, uh, from the class objects rather than, uh, overriding it again and again.