Graduate Software Engineer at Cognizant | Researcher in Linguistics, AI, Computer Vision & Mathematical Computing

I’m passionate about building scalable enterprise software and conducting advanced interdisciplinary research across AI, mathematics, language systems, and computational science.

“Where language, logic, and learning meet — that’s where I work.”

• 🔹 Backend Development with python , django ,streamlit , C#,.NET, ASP.NET MVC, Web API
• 🔹 Database Engineering using SQL Server, T-SQL, SQL Profiler
• 🔹 Enterprise Automation with IBM Datacap & ServiceNow ITSM
• 🔹 Research-oriented programming in Python & C++

• 🔤 Researcher in translation & transliteration systems for 140+ languages
• 🔤 Script mapping, phonetic normalization & cross-script NLP pipelines
• 🔤 Low-resource language modeling & multilingual embeddings
• 🔤 OCR-assisted multi-script text processing

• 🔢 Prime sieve optimization & potential prime detection algorithms
• 🔢 Pattern discovery in prime distributions & special prime classes
• 🔢 Extreme computation: π algorithms, transcendental equations
• 🔢 Hybrid symbolic–neural mathematical reasoning models

• 🧠 LLMs, multimodal learning & intelligent agents
• 👁️ Computer vision for anomaly detection, OCR & classification
• 📄 AI-powered document understanding (forms, handwriting, layouts)
• 🧬 AI in healthcare, bio-inspired computing & digital epidemiology

Python, FastAPI, Flask, Django, PySpark, Streamlit,
C#, ASP.NET Core, EF Core, LINQ, C, C++, Angular

TensorFlow, PyTorch, Keras, OpenCV, scikit-learn,
LangChain, HuggingFace, OpenAI API, LLaMA, DeepSpeed,
MLOps, AIOps, LLMOps, GenAI Agents

NumPy, Pandas, Matplotlib, Seaborn, Regex, BeautifulSoup,
Requests, SQLAlchemy, SymPy

SQL Server, Azure SQL, PostgreSQL, MySQL, Oracle,
MongoDB, NoSQL, PL/SQL, Cosmos DB

Azure: App Service, Functions, Storage, Databricks, AI Studio
AWS: Lambda, Bedrock, SageMaker
GCP: Vertex AI, BigQuery

Docker, Jenkins, Git, Ansible, CI/CD Pipelines
Ubuntu, Debian, RedHat, CentOS, NixOS, Slax OS

Power BI, Tableau, Plotly, Pandas Profiling

ServiceNow, IBM Datacap, BMC Remedy, Jira Service Management, IAM

Python, TensorFlow, Keras, OpenCV, NumPy, Pandas

• Trained LSTM & GRU models on 900+ surveillance videos (arson, burglary, vandalism)
• Used CNN embeddings + temporal modeling for sequence classification
• Achieved 92% accuracy with optimized preprocessing pipelines

Python, Tesseract, spaCy, PyPDF2, Streamlit

• Built ATS system with NER-based skill extraction
• TF-IDF + cosine similarity for JD matching
• OCR support for scanned resumes, improved keyword accuracy by 45%

Python, Streamlit, OCR, Indic Transliteration, OpenAI GPT-4o

• Transliteration across 80+ world scripts with auto script detection
• Context-aware transliteration using LLM + heuristic validation
• Modular design extendable to FastAPI/Django APIs

• Roy, S. (2021) — Video Anomaly Detection with Deep Learning, ResearchGate
• Roy, S. (2022) — Detection of Abnormal Human Behavior Using Deep Learning, Bohr Publications (BIJSCIT)
• Roy, S. (2024) — Crowd Anomaly Detection with Deep Learning, Google Scholar

• 🌍 Ultra-scalable multilingual translators & transliterators
• 🧮 Novel prime-search heuristics & symbolic computation systems
• 🤖 Hybrid symbolic + neural math reasoning architectures
• 📄 High-accuracy OCR & document intelligence pipelines

• 💡 Open to collaboration in AI, Linguistics, Prime Research & Computer Vision
• 🔬 Interested in interdisciplinary and experimental research projects
• 🌱 Always learning, experimenting, and pushing algorithmic limits

📫 Feel free to connect and collaborate!