About
AI-focused Software Engineer with ~1.2 years of hands-on experience building LLM-powered applications, backend services, and scalable workflows using Python. Experienced in RAG systems, API integrations, and deploying AI-enabled features to production. Strong problem-solver with a track record of streamlining complex systems and rapidly prototyping data-driven solutions.
Skills & Expertise (21)
Work Experience
Software Development Engineer
Aiklisolve Technologies Pvt Ltd
Jun 2025 - Feb 2026
Built scalable AWS S3 storage pipelines using Node.js, enabling reliable file storage handling for backend services. Architected RESTful APIs integrating backend systems with LangChain RAG inference, reducing prediction latency from 3.8s → 2.4s (+40% concurrent requests). Developed multi-tenant RAG prototype using LangChain + Supabase PGVector, with universal conversation memory. Created Multi-modal pipeline processing with large text data and images with 90% context retention and session persistence. Automated recurring backend workflows with n8n, cutting manual ETL execution time from 3 hours/week to 20 minutes, freeing up team bandwidth for feature development. Implemented a multi-tenant RAG (Retrieval-Augmented Generation) prototype using LangChain + FAISS supporting 5+ client datasets, ensuring contextual retrieval with average similarity scores greater than 0.82 in vector search evaluation. Delivered two analytics MVPs featuring Streamlit dashboards for real-time Root Cause Analysis, accelerating issue resolution by 30%.
Programming Intern
Zaks Intl Pvt Ltd
Jan 2025 - Mar 2025
Designed and deployed a rule-based chatbot using Flask + SQLite, automating customer interaction workflows and improving overall efficiency by 20%. Scraped product and contact data from 2 major B2B directories (ApolloDB, ExportersIndia), collecting 100+ new leads monthly. Streamlined data acquisition through automated Python web scraping (Beautiful Soup), with scheduled execution managed via Windows Task Scheduler, cutting research time by 40% and boosting lead generation. Assembled a RESTful API layer for inter-service communication between chatbot and CRM modules, reducing manual lead entry time from 10mins per client to less than 2 minutes.
Data Science and Machine Learning Intern
YBI Foundation
Dec 2023 - Jan 2024
Optimized churn prediction model performance by conducting comprehensive data cleaning and optimization, leading to a 20% improvement in efficiency. Trained and evaluated churn prediction models (Random Forest, Logistic Regression) with Scikit-Learn, achieving consistent accuracy improvement over baseline models. Performed hyperparameter tuning using GridSearchCV, improving F1-score and recall metrics by 10% for churn detection. Visualized churn insights with Matplotlib/Seaborn, boosting productivity by 12%.
Education
Master of Sciences in Data Science and Artificial Intelligence - Manipal Academy of Higher Education
- · Afghanistan
Bachelor Of Engineering in Computer Science - Osmania University
- 2024 · Afghanistan
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