profile-pic
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

    7 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
  • icon-skill_image
    Senior Backend Developer - PythonAI Screening
  • 70%
    icon-arrow-down
  • Skills assessed :Database architecture, System Architecture, React Js, JavaScript, Python, REST API, Type Script
  • Score: 14/20

Professional Summary

7Years
  • Jun, 2024 - Present1 yr 11 months

    Fractional CTO — B2B SaaS

  • Jul, 2022 - May, 20241 yr 10 months

    Senior Software Engineer

    Leegality
  • Aug, 2021 - Jul, 2022 11 months

    Software Engineer

    Leegality
  • Jan, 2019 - Jul, 2019 6 months

    Graduate Engineer Intern

    Nineleaps
  • Aug, 2019 - May, 2020 9 months

    Member of technical Staff II

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

    Software developer

    Quadeye

Applications & Tools Known

  • icon-tool

    React

  • icon-tool

    REST API

  • icon-tool

    Python

  • icon-tool

    Django

  • icon-tool

    Django REST framework

  • icon-tool

    FastAPI

  • icon-tool

    Machine Learning

  • icon-tool

    MySQL

  • icon-tool

    MongoDB

  • icon-tool

    Bash

  • icon-tool

    Kafka

  • icon-tool

    Slack

  • icon-tool

    Spark

  • icon-tool

    Apache Kafka

Work History

7Years

Fractional CTO — B2B SaaS

Jun, 2024 - Present1 yr 11 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 Engineer

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 Engineer

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
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.

Member of technical Staff II

Nineleaps
Aug, 2019 - May, 2020 9 months

Graduate Engineer Intern

Nineleaps
Jan, 2019 - Jul, 2019 6 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

    Hi, I'm Divan, and I'm working as a software developer. From the past five years, approximately five and a half years now. Previously, my last company was Legality, where I worked as a senior software developer. My major roles included leading a team, conducting a court review, creating a system architecture for backend applications, getting it implemented, and streamlining the process, as well as communicating with other teams.

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