B.Tech CSE (AI & ML) · SRMIST · Class of 2029
Backend systems, applied AI, and real-time interfaces — I build across the boundaries where models become useful products.
Five systems, each with a clear contribution, inspectable evidence, and the limitations that matter.
1st place · CYGNUSA Elite Hire
Award-winning platform · live · Three-person team · backend ownership
A secure, role-aware hiring system with AI assessment and live proctoring.
In active development · Six-person team · product and backend lead
A package photo becomes a verdict an inspector can defend — or an honest abstention.
6(1)(a) · FOUND
6(1)(e) · GLARE
6(2) · UNMEASURABLE
Live public demo · Three-person team · ML and graph ownership
From pixels to a routable city graph — then a test of what breaks first.
Live static demo · Independent project
Raw F1 telemetry, explained: where the time was won or lost.
Best project / working model · TechKnow 2026
Exhibited working prototype · Student exhibit · end-to-end prototype
A complete sensor-to-browser experiment in live physiological signals.
I trace a problem from data to interface, make ownership explicit, and treat testing, failure paths, and review as part of the product.
I turn difficult ideas into software you can actually use.
Background
I’m Akshat Tiwari, a B.Tech CSE student specialising in AI and Machine Learning at SRM Institute of Science and Technology (SRMIST). My strongest work sits where models, data, APIs, and interfaces meet. I like understanding the whole system, then taking clear ownership of the part I can make dependable.
Current focus
Production-minded AI, backend product engineering, and real-time experiences.
Useful over impressive
Evidence over assumption
Craft at every layer
Understand the system, remove the theatre, ship the proof.
A focused view of the skills used in the projects above—not a catalogue of everything I have tried once.
Trace · road segmentation and measured validation
HireSense · secure, role-aware assessment workflows
HireSense, Trace + Pitwall · usable interfaces for technical systems
Trace · pixels transformed into explorable road graphs
HireSense + TruthScope · live video and sensor pipelines
A degree in progress, working systems in public, and recognition tied to things a reviewer can inspect.
SRM Institute of Science & Technology
Building a foundation in computer science while applying it immediately through ambitious cross-disciplinary projects.
SRMIST · TruthScope
Demonstrated a working real-time, hardware-to-browser physiological signal system.
SRMIST · HireSense
Built an end-to-end AI recruitment and assessment platform with secure multi-role workflows.
Public source repositories
Publishing projects, trained models, and the engineering trail behind them on GitHub.
Certifications & recognition
09
Professional exams, structured programmes, and project recognition—with verification and original evidence.
View certificationsAn AI/ML, backend, or product-engineering internship with real ownership.
Engineers who review carefully, explain trade-offs, and ship together.
Work at the boundary between models, data, APIs, and real-time interfaces.
05 / 05 · Contact
If you’re hiring for an internship, building an ambitious system, or think my work could help your team, I’d like to hear the context.