SUJIT SARKAR / AI·ML Engineer & Data Scientist
It’s a playground for innovation.
Blending engineering precision with creative problem-solving in AI, data, and software.
UNDERSTANDING IS WHERE
MEANINGFUL CREATION BEGINS.
I’m Sujit Sarkar — I’ve always learned best by building things. My curiosity about how technology understands people — our language, decisions, and behavior — gradually pulled me into the world of AI and data science.
I’m still figuring it out, one experiment at a time. Each project teaches me something new about how machines see the world, and how I can make that understanding feel a little more human.
Document ingestion
PaperGrader converts scanned answer sheets into a machine-readable assessment workspace.
Processing
Output Answers are separated, indexed, and linked to their source location on the page.
Input parsed · Stage 01
Response intelligence
Each response is evaluated against the question intent—not just a list of expected keywords.
Processing
Output Relevant evidence, incomplete reasoning, and concept-level understanding are identified.
Response mapped to rubric · Stage 02
Evidence-based evaluation
PaperGrader produces a review-ready result with the evidence behind every decision.
Processing
Output A clear score, supporting evidence, and next-step feedback for the student.
Assessment ready for review · Stage 03
Selected work AI, data & product
05 projectsTravel Autopilot prepares a trip folder, itinerary and calendar event.
Interactive case study ↗
Explore the work
0104 Working principles
The decisions repeated across the work
Across AI tools, research, and product systems, the technology changes. The standard behind it does not.
Start with the problem, not the technology. Learn what people need before deciding what to build.
Available for select projects
Have a useful idea, a difficult system,or a product that needs clarity?
Bring the ambition and the messy first draft.I’ll help shape what comes next.
