The same service, set on one sheet and fit to print.
I am Bhargavaram Krishnapur, founder of The Pulse Engine, building local-first open-source software: tools that run on your own machine, keep your data there, and do not ask for a subscription.
↓ Download the résumé as a PDF 221 KB · revised August 2026
An open-source developer community built on one principle: software runs on your machine, your data stays on your machine, and your tools belong to you. Shipped the first project on day one. MIT licensed, free forever. Growing a contributor base through LinkedIn, Discord and daily GitHub activity.
Co-host one of the university's official podcast series in a three-host rotation. Curate episode topics and build structured conversation outlines, research and reach out to guests across students, faculty and professionals, and moderate episodes for clear discussion flow and audience engagement. Also handle guest prep, interview framing and episode planning.
A Udyam-registered micro-consultancy helping entrepreneurs validate business ideas before they sink months into them. Structured consultations and targeted research end in an honest, data-driven call to pursue, pivot or pause. Covers feasibility analysis, market and competitor research, strategic SWOT, financial forecasting and differentiation planning.
Sponsorship lead for the university's entrepreneurship cell. Raised ₹2L+ for Elevate 2.0, our flagship event, by building the prospect list, writing the pitch and running the conversations to close. Also worked on the roadmap planning that carried the team through to the finals of IIT Bombay's E-Summit.
Company-side lead on the firm's ERP digitisation, owning QA, billing, documentation and marketing, and delivered a recommended ERP selected after direct vendor evaluation. Designed a tap-first billing model for square-foot electrical contracts (area × rate as a fixed cap, auto-distributed across stages), logged 50+ bugs and security issues as actionable tickets for a non-technical manager, ran field assessments across three active sites, and migrated tender handling to a fully digital workflow. Also authored a practical guide to square-foot contracting and Indian compliance (RA bills, Ind AS 115, MSMED Act, GST SAC 9954).
Led end-to-end sponsorship acquisition for a company-hosted event, from prospect research through partner onboarding. Identified and evaluated brands and individuals able to sponsor or add strategic value, prepared pitch materials and partner briefs, and coordinated sponsor communications, timelines and deliverables through to execution.
Advanced and closed early-stage engagements, and built a central deal-tracker consolidating pipeline status, next actions and owners, which cut duplicate follow-ups. Standardised outreach and deal-ops with lightweight playbooks and handoff templates, sourced and qualified 30+ startups, added 250+ relevant connections, and managed legal document workflows (term sheets, NDAs, data requests) for cleaner closings. Also assembled the pitch deck leadership used at a hackathon.
Co-ran operations for the Mumbai division of a charity run, leading 80 volunteers to the start line on a one-month timeline. Ran 100+ CSR outreaches that brought in ₹20L+ of sponsorship, and owned execution end to end: volunteer allocation, vendor and ground logistics, and day-of coordination across the course.
Tailored resumes, cover letters and LinkedIn profiles for clients across career stages, with ATS optimisation to get them past the filters. Helped 50+ clients land interviews.
Co-created an education pipeline for Grades 1–5 for children in Mumbai slum communities. Ran field research across Deonar, Gautam Nagar and Bhim Nagar, collecting 50+ student interest profiles, wrote psychology-based interaction guidelines for future volunteers and teacher guidelines for low-literacy classrooms, and presented the final proposals to DBM's leadership for phased rollout.
Read the full work history, with responsibilities and achievements for each post.
An open-source market analysis platform that merges price data with news sentiment into one explainable signal, runs the whole scan on your own machine, and shows its working for every score it prints.
Python · Python · Streamlit · yfinance · VADER sentimentA daily correlation scan across news, markets and government data that prints, with equal visual weight, what the identical pipeline finds in pure noise. It has published zero edges so far, and that is the correct result.
Python · Python · GitHub Actions · pandas · SciPyA local-only web app that finds where your personal information is exposed online, tells you honestly when a check failed rather than calling it clean, and generates the data-removal requests under the law that actually applies to you.
Python · Python · Flask · HTML · CSSA Windows browser wrapper that measures a fixed set of security properties before it will let the browser start, refuses to launch if any of them cannot be proved, and reports the things it cannot enforce as not enforceable instead of showing green.
Python · Python · Tkinter · Windows Firewall · Windows ACLsA neuroevolution sandbox in one Python file: a network that adds and removes its own neurons, evolves its activation functions by genetic selection, and draws every step of it while it runs.
Python · Python · NumPy · matplotlibA product ideation study of visitor entry at Vijaybhoomi University: three interviews, eight card sorts and five tree tests, ending at a modelling problem rather than at a redesigned form.
HTML · HTML · CSS · Card sorting · Tree testingA basketball prediction pipeline that fetches real NCAA games from ESPN, trains six models against each other, deploys the winner, and retrains itself on a schedule. Its accuracy went down when it was fixed, and that is the part worth reading.
Python · Python · scikit-learn · Flask · pandasA compact chess engine that learns entirely by playing itself. Monte Carlo tree search guided by a policy and value network, with the whole pipeline in the open: self-play, replay data, training loop, checkpoints, and a command line you can play against.
Python · Python · Monte Carlo tree search · Neural networks · Self-play reinforcement learning