Aman Srivastava

Computer Science | AI/ML | Data Science
📍 New Delhi, India

I am a pre-final year Computer Science student specializing in Data Science, Artificial Intelligence, and Machine Learning, with hands-on experience building production-grade NLP systems, automation pipelines, and full-stack AI applications.

My work spans the full ML lifecycle from data processing and transformer fine-tuning to deployment, workflow automation, and scalable system design. I am particularly interested in transformer architectures, AI-driven automation systems, and robust data infrastructure.

Beyond engineering, I bring strong leadership, discipline, and decision-making ability under pressure, demonstrated through founding and leading student organizations and being recommended via the SSB for Officer Entry into the Indian Armed Forces.

💼 Experience

RECONZO

Competitive Intelligence Intern | Dec 2025 – Feb 2026

Constructed a multi-platform competitive intelligence system across e-commerce and quick commerce marketplaces, automating geo-specific product tracking across multiple pincodes
Attained ~7x higher data ingestion throughput by building an asynchronous Playwright workflow using asyncio and controlled parallel browser execution
Designed a fault-tolerant scraping pipeline with proxy-based session isolation, API interception, and intelligent retry logic
Built ETL workflows to generate pricing spreads, discount volatility, and stock-level signals for margin analysis

Indian Institute of Technology Delhi

AI/ML Intern | June 2025 – July 2025

Architected LibSenti, a large-scale sentiment intelligence platform analyzing 10,000+ IIT & NIT reviews using transformer-based NLP
Fine-tuned a RoBERTa model (PyTorch + Hugging Face) achieving 92% accuracy with improved negative sentiment detection
Designed and deployed a real-time Streamlit dashboard (Render), reducing analysis turnaround time by 50%
Automated validation and publishing workflows for 15,000+ Drupal CMS records, reducing manual effort by 60% and improving operational efficiency 3×
Built scalable preprocessing, class balancing, and evaluation pipelines to enhance model robustness and reliability

CEERAS

Software Developer Intern | Feb 2025 – June 2025

Engineered a gamified coding platform used by 1,000+ students
Improved backend performance by 15% and user engagement by 30%

U-Knighted

Founder & President | Jan 2025 – Present

Scaled the College Chess Society to 100+ active members
Organized tournaments and strategy workshops
Secured sponsorships and institutional partnerships

🧠 Projects

DIRS – Document Intelligence & Retrieval System

Built a secure RAG pipeline converting unstructured PDFs into a semantic knowledge base using FAISS, ChromaDB, Milvus & Qdrant
Implemented hybrid retrieval (vector search + BM25 score fusion) with local LLM inference (LLaMA, Qwen, Gemma)
Designed role-based access control for secure enterprise document querying

CLAMANS – Leave Management System

Designed a role-based institutional leave platform for IIT Delhi
Implemented PostgreSQL leave computation logic with holiday policies
Built OTP authentication and SMTP automation workflows

Wafer Shield AI – Edge AI Semiconductor Defect Classification

Deployed an edge-optimized defect classification system using EfficientNetLite0 achieving 90.34% accuracy
Built a 6.76 MB FP16 ONNX model achieving 8.55 ms CPU latency and 116.9 images/sec throughput
Engineered a high-efficiency inference pipeline for low-resource industrial environments

SmartMailer – AI Email Automation

Developed an NLP-powered email assistant
Reduced drafting time by 75% and automated 65% of workflows

AutoCatalog

Built a Selenium-based automation pipeline for catalog validation
Reduced manual verification by 70% and improved metadata accuracy by 60%

TaskSage – AI Consultant

Developed an LLM-powered task prioritization system
Reduced manual triage time by 80%

🎓 Education

Maharaja Surajmal Institute of Technology (GGSIPU)
B.Tech in Computer Science Engineering | 2023 – 2027

DAV Vasant Kunj
Grade 12 (PCM) | 2022 – 2023
School Topper in Computer Science

🏆 Achievements

Globally Selected – Hacker House 2024, Bangkok
Top 50 / 500+ teams – Hack for Impact 2025, IIIT Delhi

📜 Certifications

Global Markets Sales & Trading Analyst – Bank of America
Artificial Intelligence Fundamentals – IBM
Cloud Computing Foundations – Google Cloud
Data Analytics Job Simulation – Deloitte
Data Quality & Consistency with ODE – Open Knowledge Brasil