Building software today, exploring product management roles
Developer by background. Product thinker by instinct. I joined PPFAS in Mumbai in October 2024 and have been Assistant Manager – Web Developer there since April 2026. I’m open to Associate Product Manager and Product Manager roles.
From building software to the problems behind it
The more software I built, the more my attention moved to the problems behind it: why something should exist, who needs it, how the workflow around it should run, and what could be better.
So this isn’t a sudden career change. It has been a steady progression, from developer to builder to problem solver to product thinker, and product management is where that line leads next. I still like learning new tools by building with them: SYNAPSE and SignBridge used tools outside my PPFAS stack, such as NestJS, FastAPI and three.js.
At Mansha Distributors I handled pricing, billing and sales-support analysis and implemented pricing strategies that increased net profit by 150%, so I’ve seen pricing and billing from the business side, not only through software.
Websites, an investment platform and internal tools at PPFAS
I built and launched gift.ppfas.com and wealth.ppfas.com, built the separate PPFAS Gift investment platform, and created a management portal for amc.ppfas.com.
What I build
Business-critical websites, portals, an investment platform and internal systems.
How I build it
Laravel, React, PHP, WordPress and AWS, with CI/CD-driven deployment workflows. Figma and Photoshop for design support.
What it changes
I built static pages and management portals that let business teams manage workflows without depending on a separate tech team. Across seven builds, the combined fixed-cost saving is ₹20+ lakh. The event-management system and the Career portal I built are jointly credited with ₹10+ lakh in annual recurring cost.
Why I’m exploring product management
Writing code taught me how a product works on the inside. What draws me now is the thinking that has to happen before any code: which problem is worth solving, what the right solution looks like, which constraints matter, and, once it’s out, whether it actually made a difference.
Some of my PPFAS work already sits on that line. With the portals I built, the value was in what business teams could now run themselves, more than in the code behind them.
So the move towards product management is deliberate, and I intend to keep building: understanding engineering constraints first-hand is part of what I’d bring to the role. I’m also currently enrolled in the Certification in Product Management with Applied AI Program from iHUB DivyaSampark, IIT Roorkee, delivered with Masai School.
One before-and-after example: business teams used to depend on the technology team for document updates. The self-service system I created lets them select the document type, upload the file directly to S3 and have the corresponding document links update across the website. The PPFAS case study shows the workflow step by step.
What an engineering background brings to product work
Good engineering decisions aren’t only about whether something works — they’re also about understanding what the evidence actually tells you. Four examples from my own work:
- Designing with AI usage and infrastructure constraints in mind. SYNAPSE supports three AI providers, uses monthly token limits by plan, and allows users to bring their own API keys, which are stored encrypted.
- Testing feasibility by building. SignBridge set out to show that turning speech into meaning, then into a sign sequence, then into visuals was technically feasible. The prototype takes a spoken video through each of those steps and plays the signs back in sync with the video. What it does not show is real sign coverage: only 2 of its 209 sign entries are real sign clips, and the rest are placeholder cards.
- Not trusting a metric blindly. In SignBridge’s avatar research, a fix that stopped the avatar’s resting arm passing into its hip made the arms visibly correct, but raised the wrist trajectory error on the HELLO sign from 0.0354 to 0.0665, because that metric only measures the shape of the wrist’s path and has no concept of an arm passing through the body. I kept the fix and documented why.
- Being specific about limits. SignBridge’s translations are AI-generated and haven’t been reviewed by Deaf or sign-language interpreters, and its case study says so. SYNAPSE’s case study is just as direct: it’s a prototype that isn’t deployed and has no automated tests.
Workflows, payments and accessibility
Three problem areas show up in work I’ve built:
- Internal workflows and what they cost. Internal tools can reduce a recurring cost or a dependency on another team. The PPFAS portals I built, described under “What I do today”, are my clearest example.
- Payments. I built the PPFAS Gift investment platform and integrated it with a third-party payment gateway, including international payment support; I did not build the gateway itself. SYNAPSE includes Razorpay subscription billing, with checks that payment notifications are genuine; it has not been connected to live payments.
- Accessibility beyond captions. Captions help many people, but they aren’t sign language, and spoken video isn’t automatically available in sign-language form. SignBridge is my research prototype for exploring that gap in Indian Sign Language.
What I can do, and where it shows
Each item names the work that demonstrates it.
Product practice
- Scoping an MVP: SignBridge was scoped as a weekend-scale research prototype: one video at a time, no sign-in, Indian Sign Language only.
- Workflow tooling that reduces dependency: the PPFAS management portals.
- Product trade-offs in code: SYNAPSE needs explicit approval for every post (live publishing not verified) and, alongside manual voice settings, builds a style profile from edits to AI drafts once there are at least 3.
Technical
Grouped by where I’ve used them.
At work: PPFAS and Akbar Travels
In SYNAPSE and SignBridge
Across projects
Design and tools
Designing before building: at PPFAS, I plan website layouts, interfaces and email templates in Figma and Photoshop before implementation.
Data and analysis
- Pricing and billing analysis: at Mansha Distributors, where pricing strategies I implemented increased net profit by 150%.
- Evaluating experiments with numbers: in SignBridge, measured an avatar’s arm motion against a real signer’s; a better arm-reach calculation cut the average wrist trajectory error by about 85% on one sign (HELLO).
Education
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Certification in Product Management with Applied AI ProgramiHUB DivyaSampark, IIT Roorkee (with Masai School)Currently enrolled
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Master of Computer Applications (MCA)Thakur Institute of Management Studies, Career Development & Research (TIMSCDR)2022 – 2024CGPA 7.83 / 10
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Bachelor of Science in Computer ScienceThakur Ramnarayan College of Arts & Commerce2018 – 2021CGPA 8.65 / 10
Certifications
Cloud and software engineering
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Google CloudGoogle2022
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Programming using JavaScriptMicrosoft2020
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Programming in JavaNPTEL
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Cross-Platform Mobile App DevelopmentMicrosoft
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Java and RDBMS PostgreSQLSpoken Tutorial Project, IIT Bombay
Other certifications
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NISM Series V-A
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Google Data AnalyticsCoursera / Google
Leadership and activities
Developed leadership through festival, NSS and coaching responsibilities.
Elsewhere
The evidence is in the case studies
The case studies show the problems, decisions and trade-offs behind SYNAPSE and SignBridge, and the work I built at PPFAS. If any of it is relevant to your team, I’d like to hear from you.