Open to Software Engineering and Product Opportunities

TanishkMittal

Full-stack developer with product thinking.

I research user problems, design practical workflows and build deployed products across AI collaboration, institutional research and operational management.

B.Tech CSE in IoT and Intelligent Systems · Manipal University Jaipur

Building AI-powered, real-time and institutional products.

TM
IntellMeet live product previewMUJ Research Portal live product previewNRCMS live product preview

Live product showcase

Deployed products, shown as product experiences.

Each product is presented through the user problem, product choices, engineering contribution and a live visual preview captured from the deployed application.

Live IntellMeet deployment screenshot
Product entryDemo accountAI meeting promise
01LiveBuilt and deployed

IntellMeet

An AI-powered workspace that brings meetings, collaboration and post-meeting execution into one product.

User problem
Remote meetings often scatter scheduling, live discussion, transcripts, summaries, tasks, and analytics across too many tools.
Target users
Students, small teams, and collaborators running structured online meetings.
Product decisions
  • Bring scheduling, meeting rooms, chat, captions and follow-up work into one continuous workspace.
  • Keep demo entry and sign-in flows visible so reviewers can quickly understand the product promise.
  • Treat summaries, action items and tasks as execution surfaces rather than decorative AI features.
  • Implemented meeting scheduling, protected room flows, participant surfaces, chat, captions, recordings, and host controls.
  • Connected live collaboration with Socket.IO, WebRTC-oriented room interactions, API state, and authenticated user sessions.
  • Built post-meeting productivity features including AI-style summaries, action items, analytics, notifications, exports, and task boards.
ReactTypeScriptViteNode.jsExpressMongoDBSocket.IO
Live MUJ Research Collaboration Portal deployment screenshot
Public discoveryFaculty project cardStudent entry point
02LiveBuilt and deployed

MUJ Research Collaboration Portal

A role-aware research discovery platform connecting faculty projects with students seeking research opportunities.

User problem
Students need a clearer way to discover faculty-led research projects and apply through a structured academic workflow.
Target users
Students, faculty members, and research coordinators at Manipal University Jaipur.
Product decisions
  • Lead with public project discovery before asking students or faculty to enter dashboard flows.
  • Separate student, faculty and coordinator needs through role-aware navigation and protected routes.
  • Prioritise application structure, document uploads and verification before advanced analytics.
  • Implemented role-based student and faculty dashboards with protected routes and discovery flows.
  • Built project publishing, application review, document upload, email verification, and directory workflows.
  • Structured MongoDB models, authentication, and deployment configuration for a live institutional-style product.
Next.jsTypeScriptReactMongoDBMongooseJWTbcryptjs
Live NRCMS deployment screenshot
Operational screenRole workflowLive deployment
03LiveBuilt and deployed

NRCMS - National Rehabilitation Centre Management System

An operational management platform for rehabilitation-centre administration, patient workflows, orders and support.

User problem
Rehabilitation-centre operations need role-aware tools for patient records, recovery tracking, orders, support queries, centre workflows, and administrative approvals.
Target users
Rehabilitation administrators, staff members, and operational coordinators.
Product decisions
  • Organise operational modules around roles so administrators and staff see relevant workflows.
  • Keep patient, order, support and centre operations connected without exposing sensitive sample data.
  • Frame the product as a working deployed system, not as an official healthcare deployment.
  • Implemented role-aware access patterns and protected operational dashboards for different rehabilitation workflows.
  • Built patient, recovery, order, support, centre, and administrative approval surfaces around practical operations.
  • Structured the Next.js, MongoDB, and Vercel deployment path for a live portfolio-grade product.
Next.jsReactTypeScriptMongoDBRadix UICustom authenticationRBAC

About and education

Engineering depth. Product perspective.

I am a Computer Science student at Manipal University Jaipur working across software engineering, product development, intelligent systems and organisational execution. My work combines technical implementation with user research, workflow design and prioritisation.

Tanishk Mittal standing by the sea
Building AI-powered, real-time and institutional products.

I identify user problems, define practical product flows, and turn them into deployed web applications, from research and prioritisation to interfaces, APIs, databases, intelligent features and deployment.

01

B.Tech in Computer Science and Engineering

IoT and Intelligent Systems

Manipal University Jaipur2023 - Present
CGPA: 9.69/10

Dean's List across 6 consecutive semesters

02

Diploma in Product Management with Generative and Agentic AI

2026 - Present

Product management learning track focused on AI-enabled product thinking.

03

Senior Secondary, CBSE

K.M. Public SchoolCompleted
91.4%
04

Secondary, CBSE

K.M. Public SchoolCompleted
96%

Academic proof

B.Tech CSE inIoT andIntelligentSystems

Manipal University Jaipur

9.69/10CGPA

B.Tech CSE in IoT and Intelligent Systems

6Dean's List semesters

Consecutive academic recognition

3 yearsDr. TMA Pai Merit Scholarship

Consecutive academic years

AcademicExcellence awards

Merit-based academic recognition

1,200+IIC 2.0 registrations

International Innovation Challenge 2.0

Product thinking

From user problem to shipped product.

The MUJ Research Portal is used here as a product example: a workflow problem became personas, prioritised features, authenticated flows, data models and evaluation metrics.

UsersProblemsPrioritisationJourneysMetrics
01

Discover

Understand where the research workflow breaks before designing screens.

  • Students struggle to discover active research opportunities.
  • Faculty receive applications through inconsistent channels.
  • Opportunities are scattered across groups, spreadsheets, referrals and informal messages.
02

Define

Turn loose workflow pain into clear users, journeys and constraints.

  • Student journey: browse, evaluate fit, upload proof, apply.
  • Faculty journey: publish project, review applicants, manage status.
  • Coordinator journey: keep discovery, roles and participation organised.
03

Prioritise

Choose the smallest coherent product that can make research discovery usable.

  • Project discovery and faculty publishing are core flow starters.
  • Applications, uploads and dashboards create end-to-end value.
  • Analytics are designed as product-evaluation signals rather than claimed impact.
04

Build

Translate product decisions into architecture, data models and responsive interfaces.

  • Information architecture separates public discovery from protected dashboards.
  • Authentication and roles shape navigation, permissions and review flows.
  • MongoDB entities connect projects, users, applications and uploaded documents.
05

Measure

Define what would prove the product is reducing friction after launch.

  • Project discovery rate
  • Project-page-to-application conversion
  • Faculty review turnaround time

Define

Three users, three needs.

Student

Find relevant research projects and apply without chasing scattered links.

Opportunities can be difficult to compare across informal channels.
Faculty member

Publish projects and review student interest through one structured flow.

Applications arrive with inconsistent context, documents and status tracking.
Research coordinator

Keep project discovery, roles and participation organised.

Manual coordination makes visibility and follow-up harder to maintain.

Prioritise

Approach, not claimed business impact.

Must

Project discovery

Starts the student value loop.

Faculty project publishing

Creates supply for discovery.

Student application flow

Completes the student-to-faculty connection.

Should

Role-aware dashboards

Keeps each user focused on the right tasks.

Email verification

Improves account trust before collaboration.

Resume and certificate uploads

Gives faculty more review context.

Could

Application analytics

Useful for evaluation after the core flow works.

Metrics designed for product evaluation

  • Project discovery rate
  • Project-page-to-application conversion
  • Application completion rate
  • Faculty review turnaround time
  • Student-to-faculty connection rate
  • Returning active users

Engineering capabilities

The path from product question to working system.

01

Product discovery

User researchPersona mappingUser journeysMarket researchProblem definition
02

Product strategy

Feature prioritisationRICEMoSCoWFunnel analysisEngagement KPIsA/B testing frameworks
03

Frontend engineering

ReactNext.jsTypeScriptTailwind CSSResponsive UI
04

Backend and systems

Node.jsExpressREST APIsAuthenticationRBACMongoDBSQL
05

Intelligent and real-time products

Socket.IOWebRTCOpenAI integrationsPythonPyTorchOpenCV

Professional experience

SDE Intern · Zidio Development

May 2026 - July 2026

Primary professional software development experience, focused on delivering connected full-stack product capability through production-oriented engineering practices.

01
Product requirements

Translated meeting and collaboration needs into implementable product modules.

Scope
02
Secure authentication and RBAC

Worked with account, session, and role-aware access patterns for protected workflows.

Access
03
Real-time messaging

Connected live collaboration states with event-driven communication patterns.

Socket
04
Browser-based video meetings

Supported meeting-room interactions and participant-state surfaces.

WebRTC
05
AI meeting intelligence

Built post-meeting productivity surfaces for summaries, actions, and follow-through.

AI
06
Deployment and DevOps

Strengthened release, debugging, and maintainability practices around deployable work.

Ship
ReactNode.jsExpressMongoDBSocket.ioJWTWebRTC

Leadership

Moving systems and people with the same discipline.

Leadership is presented separately from professional software experience so recruiters can scan engineering work clearly.

Ongoing

Student Placement Coordinator

Manipal University Jaipur

Supported student, placement, and stakeholder coordination across opportunity workflows.

Student supportCommunicationStakeholder coordination
Placement interface
2025

Convenor

International Innovation Challenge 2.0

Coordinated a large student innovation program with registration scale, operations planning, and organising-team execution.

Event executionSponsorshipOperationsTeam leadership
1,200+ registrations
2025 - 2026

General Secretary

IEEE WIE MUJ

Led IEEE WIE MUJ community initiatives across programs, communication, and technical engagement.

Community leadershipWorkshopsPartnershipsTechnical events
2025-2026

Research and academic work

Smaller experiments, clearly framed.

These items show research depth and academic exploration without implying deployment, clinical use, or production adoption.

Academic work

Digital image processing and steganography

Explores image transformations, information hiding, and security-oriented applications through academic implementation work.

Academic exploration
Research interest

AI and intelligent systems

Applied interest in medical image segmentation, geospatial intelligence, and decision-support systems.

Research direction
Product research

Research collaboration platforms

Workflow mapping for making institutional research discovery and student-faculty collaboration easier to navigate.

Product research

Contact

Let's talk.

Have an internship opportunity, product idea, software project or research collaboration? Send me the details.