AI Engineer / 2027 Grad / 日本 inspired / 未来 builder
Fresher and 2027 graduate based in Bhopal. Search my full name online and you will find the same pattern: projects, experiments, certificates, hackathons, and a steady habit of building in public.
Repo-backed builds from my GitHub: assistive vision, battery intelligence, semantic search, legal document analysis, and farmer support tools.
See Works
GlassInterface
(01)
On-device assistive vision Android app with YOLOv8 TFLite, ML Kit face recognition, distance estimation, TTS alerts, and voice memory.
AdvancedOptimizer
(02)
Android battery intelligence app with live health, per-app drain estimates, cache pressure, sensor drain, charging guidance, and optimization planning.
Cognix
(03)
High-performance semantic search engine using transformer embeddings, GMM clustering, ChromaDB, FastAPI, and a semantic cache.
LegalEase
(04)
AI-powered legal document analysis platform with document processing, chatbot assistance, summaries, and dashboard flows.
Fasal Sathi
(05)
Smart agricultural Android assistant for Indian farmers with weather intelligence, AI assistant flows, crop recommendations, and scheme support.
(6)
Assistants with workflows, memory, planning, retrieval, and useful control surfaces.
Immersive portfolios, product pages, dashboards, and web app frontends.
Kotlin and Java apps for practical utilities, AI workflows, and mobile products.
Structured prompts, AI workflows, research systems, and automation playbooks.
Interfaces for analytics, documents, AI outputs, and operational decision-making.
Fast MVPs, demos, pitch-ready flows, and practical problem-solving under pressure.
I move like a student who wants production taste: identify the use case, build a working core, design the interface, and publish proof people can open.
Turn a rough idea into user flow, constraints, and the smallest useful demo.
Wire the model, API, Android logic, or retrieval layer before polishing the surface.
Create screens that make the system understandable, fast to scan, and demo-ready.
Document the repo, capture screenshots, collect certificates, and keep improving.
Culture, sound, interfaces, and stories that keep the build energy moving.
Real music fan here: K-pop, J-pop, late-night loops. Let's connect on Spotify <3
Rosé
My favorite music artist and singer: voice, personality, and yes, my bias.
Voice / Bias
K-pop
Mostly TWICE, LE SSERAFIM, ILLIT, NewJeans, and whatever loops all week.
Playlist fuel
AI
IYKYK: the real AI lol. Agents, interfaces, model behavior, weird systems.
IYKYK
Anime
Black Clover, MHA, SAO, Dr. Stone. Ranking is hard; I like too many.
Worldbuilding
Gaming
Mostly Valorant nowadays: pressure, comms, timing, tiny improvement loops.
Valo phase
日本
Learning Japanese, loving J-pop, and yes: recruit me Japan TwT.
J-pop / LanguageI am looking for internships and entry-level roles where I can contribute across AI, app development, web products, and product dashboards. My edge is simple: I learn by shipping, then I turn the proof into better systems.
Learning, hackathons, projects, and the slow compounding of proof.
Started formal CS learning, collected early certificates, explored Python, web basics, and the habit of documenting progress.
Built public-facing projects, participated in hackathons, and moved from tutorials into portfolio-worthy implementation.
Shipped FasalSathi and LegalEase-style systems around farmer assistance, document intelligence, and real-world user workflows.
Built Cognix, GlassInterface, AdvancedOptimizer, and ranked under top 50 in Google Prompt Wars while shipping challenge builds in May 2026.
The stack I work on moves between AI, data science, coding tools, and core languages: practical enough for projects, flexible enough for experiments.
scikit-learn, TensorFlow, algorithms, learning loops
Matplotlib, Seaborn, NumPy, Pandas
Codex, Copilot, VS Code, OpenCode
Python, C/C++, MySQL
I am not trying to look experienced. I am trying to make the proof impossible to ignore: projects, certifications, timelines, and an interface that remembers the work.