Data Ingestion
Structured DBs, logs & stream telemetry
Processing Pipeline
Real-time cleaning & feature extraction
AI & ML Modeling
Training, evaluation & low-latency serving
Actionable Insights
Predictive analytics & decision dashboards
About
I'm a Computer Engineering student at PICT, Pune, building at the intersection of AI, Data Engineering, and backend systems. I don't just study these fields — I build with them. From designing data pipelines to deploying ML models, I focus on creating systems that solve real problems, not just pass assignments. My work spans end-to-end data workflows, intelligent backends, and algorithmic problem-solving — and I'm always pushing toward production-quality thinking, not just prototype-level code. Currently sharpening my edge in AI/Data Science and actively seeking opportunities where I can contribute meaningfully from day one.
Skills
Programming Languages
C++
Python
SQLAI & Machine Learning
Machine Learning
NLP
RAG
Embeddings & Vector DatabasesLLM Applications
Data AnalyticsSemantic SearchSentence TransformersBackend & Data Engineering
FastAPI
PostgreSQL
Docker
REST APIs
Data PipelinesTools & Platforms
Git & GitHub
Streamlit
VS Code
Linux
HackerRank
LeetCodeProjects
Auto Schema Pipeline
LivePythonFastAPIPostgreSQLDockerGemini APIEmbeddingsEliminates manual SQL writing entirely. Uploads a CSV, auto-infers its schema, and uses the Gemini API to generate precise, context-aware queries — delivering insights through a live dashboard and exportable PDF reports. Zero configuration required.
SynapseSync
LivePythonGeminiNotion APIGoogle Drive APIGitHub ActionsAn agentic pipeline that turns technical practice notes into structured Notion tracker entries automatically. Flow: Claude/Google Drive → classify & extract → validate → agent decision → multi-layer guardrails (contract validation, duplicate/collision checks, allowlist) → Notion. Anything ambiguous is safely halted and sent to a review queue instead of writing blindly.
AI Coding Mentor
LivePythonStreamlitGemini APIFights the copy-paste problem in DSA learning. An AI-powered hint engine that refuses to give direct answers — instead delivering layered, Socratic hints that guide students toward solutions independently, building real problem-solving ability.
Log Data Pipeline
LivePythonStreamlitA full four-stage data engineering pipeline — ingestion → transformation → analysis → visualization — converting raw server logs into a nine-chart interactive dashboard with automated insight reports. Built from scratch as a freshman to understand how production data systems actually work.
FinFlow
In ProgressPythonSentence TransformersPGvectorFASTAPISematic SearchStreamlitPOSTGRESQLAims to solve a real pain point for CA firms — financial exports from banks, UPI platforms, and brokers all use different schemas. FinFlow ingests PDFs, CSVs, and text exports, then uses sentence transformer embeddings to semantically map unknown column names to a canonical schema — targeting generalization to unseen bank formats without manual configuration. Built with pgvector for embedding storage, confidence scoring to flag uncertain mappings, and a Streamlit dashboard for review and CSV export.
Confidence Detection for LLMs
ResearchPythonMachine LearningNLPLLM EvaluationLLMs don't know what they don't know — this project aims to fix that. A research system that estimates response confidence in large language models, flagging uncertain or likely-incorrect outputs before they reach the user, making AI systems more trustworthy and production-safe.
Experience & Education
Independent AI & Data Engineer
ExperienceDesigning and shipping AI, data engineering, and backend systems independently — from pipeline architecture to deployment. Every project targets a real problem, with production-quality thinking at every stage.
Student Member
ExperienceSelected as a Student Member of TEDxPICT after the interview process. Working with the Operations, Curation, and Content teams to support the planning and execution of TEDxPICT events while collaborating with a multidisciplinary student team.
Student Member
ExperienceActive member of the PICT ACM Student Chapter, regularly participating in Special Interest Group (SIG) sessions, workshops, and technical initiatives while engaging with the college's developer community.
B.Tech, Computer Engineering
EducationMaintaining a 9.85/10 CGPA while building end-to-end AI and data engineering systems, competing in algorithmic programming, and going well beyond the curriculum — treating university as a launchpad, not a finish line.
HSC (12th), Science
EducationCracked two of India's most competitive exams simultaneously — 95.52 percentile in JEE Mains and 99.22 percentile in MHT-CET — while scoring 85% in boards. Built the problem-solving foundation that now drives my engineering work.
Achievements & Certifications
Flipkart GRID 8.0 – Round 2
2026Advanced to Round 2 of Flipkart GRID 8.0 after clearing the screening round, demonstrating strong problem-solving and programming skills in one of India's premier engineering competitions.
GitHub Foundations Certified
2026Earned the GitHub Foundations certification, demonstrating proficiency in Git, GitHub workflows, collaboration, repository management, and modern software development practices.
200+ LeetCode Problems Solved • 1400+ Contest Rating
2026Built strong problem-solving skills across core data structures and algorithms while actively competing in coding contests, achieving a 1400+ contest rating through consistent performance.
Microsoft AI Skills Fest
2026Completed Microsoft's AI learning program covering Azure AI concepts and modern AI technologies, applying the knowledge to personal AI and data engineering projects.
Google Big Code 2026 – Round 2
2026Advanced to Round 2 of Google's Big Code 2026 coding competition, demonstrating algorithmic thinking and competitive programming skills.
5-Star Rating in C++ and Problem Solving
2025Achieved 5-star ratings in both C++ and Problem Solving on HackerRank through consistent high-quality coding performance.
McKinsey Forward Program — Completion
2025Completed McKinsey's Forward Program, developing structured problem-solving, leadership, communication, and professional skills through a global learning initiative.
Contact
Open to internships, research collaborations, open-source contributions, and conversations around AI, data science, and software engineering.