AI engineer in Nagpur, India. I work across machine learning, NLP, generative AI, and
full-stack engineering. Currently building SarvPariksha, an agentic exam-prep platform,
and small language models.
Most of my work is applied AI: take an idea, clean the data around it, build the pipeline,
and put it in front of real users. I care about the unglamorous parts: evaluation,
data quality, latency. That is usually where systems fail.
I have led development of an AI receptionist robot with speech-to-text, RAG, and
text-to-speech, built a student-facing chatbot, and architected passwordless
authentication with email OTP. I am also the author of
Indian-fakedata, an open-source
library for generating realistic Indian demographic data from Census 2011 statistics.
A free mock test platform for Indian exam aspirants: JEE, NEET, GATE, MHT-CET, UPSC,
SSC, and more. It is agentic at the core: the system plans a test, calls tools over
question and syllabus data, and turns the finished attempt into review material.
What I built: the full-stack mock test engine and the agent layer
around it. That includes timed attempts, scoring, answer review, and tool-calling
workflows that assemble tests, explain mistakes, and surface weak topics. I took it
from a private exam-prep tool to a public platform.
Plan: read the exam, subject, and attempt history, then draft a paper blueprint.
Retrieve: pull candidate questions through tools instead of trusting model memory.
Validate: check questions against structured metadata before they reach the paper.
Evaluate: score deterministically, explain mistakes, and recommend what to practice next.
A fast, dependency-free tool for generating realistic mock Indian profile data based on
Census 2011 statistics.
What I did: applied probabilistic modeling to real census data to
produce statistically accurate demographic profiles and LLM-ready personas for software
and AI testing.
Highlight: 100+ downloads · Built on Census 2011 data
Machine Learning, NLP, Generative AI, Prompt Engineering, Data Preprocessing, Model Training
Experience
Full Stack Developer, Boostnow Solutions
Jul 2026 – Present
Building BoostWatch, AI-embedded systems, and related products.
Lead Software Engineer (Intern), GHRCE Nagpur
Dec 2025 – Apr 2026
Led development of an AI hallway receptionist robot with speech-to-text, RAG, and
text-to-speech for 24/7 campus use. Built a chatbot for student queries and architected
passwordless authentication using email OTP.
AI Club Member, GHRCE Nagpur
2024 – Present
Ran workshops and contributed to collaborative machine learning projects.
Education and certifications
Education
BTech, Artificial Intelligence
G.H. Raisoni College of Engineering (GHRCE), Nagpur
Jan 2023 – Jan 2027
A small AI assistant that answers questions about my work. It only knows what is on this
page, so ask it about projects, skills, experience, education, or certifications.
AI engineer in Nagpur, India. I work across machine learning, NLP, generative AI, and
full-stack engineering. Currently building SarvPariksha, an agentic exam-prep platform,
and small language models.