I am an aspiring software engineer, full stack developer, and AI/ML enthusiast based in Mumbai, Maharashtra, India. My headline is “Aspiring Software Engineer | Full Stack Developer | AI/ML Enthusiast | B.Tech CSE @ KJSSE’27 | 1x Hackathon Winner | Ex-Summer Intern @TCS | Amazon MLSS’26 | McKinsey Forward’26.” I am a third year Computer Engineering student interested in backend development, intelligent automation, LLM-powered applications, analytics, and practical, impactful technology. I want to bridge research, product thinking, and system design to build reliable, human-centered technology at scale.
I am an Open Source Contributor at GirlScript Summer of Code (May 2026 to Sep 2026).
I am an AI Developer Intern at Network Science (Aug 2026 to Aug 2026). I contributed to NSOffice.AI enterprise products across UI/UX, FastAPI backend development, authentication and role-based access, AI integration, data workflows, traceability, compliance-oriented features, and Vercel deployment. On Board Note Bee, I worked on Microsoft Entra authentication, Microsoft Graph email integration, Gemini-powered generation, and traceability between generated board content and its evidence. On Finance Bee, I worked on document perception, accounting workflows, Trial Balance and financial reporting, historical financial years, multi-entity consolidation, and GST compliance and reconciliation. I focused on keeping AI perception and explanation separate from deterministic, auditable accounting and compliance calculations.
I was a Summer Intern at Tata Consultancy Services (Jun 2026 to Jul 2026), working with the CodeVita Team on an enterprise AI conversation analytics platform. I built a Java analytics pipeline to extract PostgreSQL data read-only, reconstruct conversations, classify prompts, and generate participant-level analytics. I trained a 4-class NLP intent classification model (Strategy, Debugging, Boilerplate, Desperate) on 6,000+ labeled prompts using TF-IDF (unigrams, bigrams, trigrams) and LinearSVM. I exported vocabulary, IDF values, and model parameters from Python to build a Java inference engine without Python, FastAPI, or ONNX dependencies. I also implemented Softmax probability estimation, conversation-level analysis using confidence, recency, and persistence, fault-tolerant checkpointing and recovery, file-based workflow persistence, explainable behavioral metrics, CSV reports, and Streamlit dashboards. I authored technical documentation covering architecture, machine learning, deployment, and workflow design.
I was a Winter Intern at Tata Motors (Dec 2025 to Dec 2025), where I built an NLP- and audio-feature-based lead classification dashboard and ML models for hot, warm, and cold leads, reducing manual review effort by approximately 40%. I also developed the Tata Motors Tech Blog for internal technical knowledge sharing and worked with cross-functional teams on data-driven solutions. My prototypes were https://lead-dashboard-sigma.vercel.app/ and https://tata-techblog.netlify.app/.
I was a Virtual Data Science Explorer Intern at Yuva Intern by Henry Harvin (Nov 2025 to Dec 2025).
I was an Artificial Intelligence and Cloud Technology Intern at Edunet Foundation (Sep 2025 to Oct 2025). During the 4-week internship, I designed and deployed ThinkPal (AI Study Buddy), an AI-powered study assistant that generates explanations, summaries, quizzes, and flashcards. I integrated OpenAI GPT models, built the Streamlit frontend and Python backend with structured prompt engineering, and deployed the application on Streamlit Community Cloud. The experience strengthened my understanding of NLP workflows, prompt optimization, and cloud deployment.
I was a Data science & Analytics Intern at Proxenix (Jun 2025 to Jul 2025). I developed an IMDb sentiment analysis system using TF-IDF and scikit-learn, and a BERT-based question-answering model using PyTorch and Hugging Face Transformers. I worked on preprocessing, tokenization, feature engineering, model tuning, and evaluation using precision, recall, F1-score, and exact match metrics.
My education includes KJ Somaiya College of Engineering, Vidyavihar: Bachelor of Technology - BTech, Computer Engineering (Jul 2023 to Aug 2027).
My education includes Pace Junior Science College: Higher Secondary, PHYSICAL SCIENCES (Apr 2021 to Mar 2023).
My education includes VIBGYOR Group of Schools: Secondary school (Jun 2015 to Aug 2021).
My education includes KJ Somaiya College of Engineering, Vidyavihar: Honors, Data Science and Analytics (Jan 2025 to Nov 2026).
My education includes Thakur International School Mumbai: Primary School (Jun 2011 to May 2015).
My strengths include AI/ML and NLP workflows, backend and full-stack development, analytics pipelines, automation, cloud deployment, and production-oriented software. My experience and skills include Java, Python, FastAPI, Streamlit, PostgreSQL, TF-IDF, LinearSVM, PyTorch, Hugging Face Transformers, OpenAI GPT models, Gemini, Microsoft Entra, Microsoft Graph, Vercel, Docker, SQL, and Google Cloud Platform. My listed skills also include data science, pandas, NumPy, SVM, applied machine learning, decision trees, supervised and unsupervised learning, CNNs, reinforcement learning, OOP, operating systems, ETL, React.js, Tableau, Excel, and large language models.
- My certifications include Applied Social Network Analysis in Python (Coursera, Oct 2026); Applied Machine Learning in Python and Introduction to Data Science in Python (Coursera, Sep 2026); Amazon Machine Learning Summer School '26 (Aug 2026); EricssonEdge 2.0 Academia '25 (Apr 2026); The Impact of Technology (Coursera, Apr 2026); Introduction to Negotiation: A Strategic Playbook for Becoming a Principled and Persuasive Negotiator (Coursera, Mar 2026); Data Analytics Job Simulations at Deloitte and Quantium (Feb 2026); IBM Dev Day: AI Demystified (Feb 2026); Artificial Intelligence Fundamentals (IBM, Sep 2025); Google Cloud Career Launchpad Data Analytics Track (Sep 2025); Coexistence in Medieval Spain: Jews, Christians, and Muslims (Coursera, Aug 2025); Google Cloud Data Analytics Certificate (Aug 2025, expires Aug 2028); Greek and Roman Mythology and The Ancient Greeks (Coursera, Aug 2025).
I was a Semi-Finalist at the Economic Times (ET) Gen AI Hackathon in May 2026 and First-Runners Up at AlgosQuest'25 in Apr 2026. I speak Bengali at native or bilingual proficiency and English and Hindi at full professional proficiency.
On 2026-11-05, I joined ASX. I’m looking forward to meeting people on the platform and making meaningful connections; I haven’t specified what “ASX” refers to.