Manit Mehta

Software Engineer

Hyderabad, Telangana, India2 yrs 6 mos experience

Key Highlights

Architected a tool increasing account planning accuracy by 25%.
Led application upgrade improving performance by 20%.
Developed automation tool reducing data collection time by 90%.

Stackforce AI infers this person is a Full Stack Developer in the SaaS industry with a focus on B2B solutions.

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Skills

Core Skills

Full Stack DevelopmentWeb Applications

Other Skills

Amazon Web Services (AWS)Application Programming Interfaces (API)Back-End Web DevelopmentBeautifulSoupCascading Style Sheets (CSS)Core JavaData StructuresData VisualizationDatabasesHTML5HibernateJavaJavaScriptMicroservicesMySQL

About

Our team at DemandFarm leverages my expertise in web applications, Amazon Web Services (AWS), and relational databases to deliver innovative solutions. After graduating from The LNM Institute of Information Technology, my role as a Product Engineer has centered on driving improvements in B2B customer management through advanced system upgrades and tool development. A recent highlight includes architecting a heat map visualization tool, which has directly contributed to a 25% increase in account planning accuracy and a 10% revenue uplift for key accounts. These efforts reflect my commitment to optimizing performance, enhancing security, and delivering scalable solutions that drive growth and value for both our clients and DemandFarm.

Experience

Matillion

Software Engineer

Jun 2025 – Present · 9 mos · Hyderabad, Telangana, India · Hybrid

Demandfarm

3 roles

Product Engineer

Promoted

Jul 2024 – May 2025 · 10 mos · Pune, Maharashtra, India

Working as a Full Stack developer on a Key Account Management project that manages the company’s most
important B2B customers and large accounts systematically to maximize value for both organizations.
Led the successful upgrade of the application from SpringBoot 2.x to 3.x, enhancing performance and security
while ensuring compatibility with existing features.This upgrade improved response times by 20% and reduced
system vulnerabilities.
Architected and implemented a heat map visualisation tool to help clients identify growth areas, driving better
account planning, resulting in a 25% improvement in account planning accuracy and contributing to a 10%
increase in revenue for targeted account
Developed a web scraper tool utilizing Python and BeautifulSoup to automate manual data tracking processes for
a site; reduced data collection time by 90% and increased accuracy by 95%
Designed and deployed a task planner module using a Kanban-style interface, improving user efficiency in managing
daily tasks by 40%, as indicated by minimized task completion time.
Collaborated with cross-functional teams to enhance frontend and backend components, improving system
performance by 30% and reducing user-reported issues by 25%.
Contributed to architectural decisions and designed scalable, business-driven solutions, improving system scalability
by 40% and supporting a 20% increase in user base without compromising performance.