Aman Srivastava
Software Dev · AI/ML · Data Science
I am a final-year Computer Science undergraduate at Maharaja Surajmal Institute of Technology with interests in Artificial Intelligence, Machine Learning, Data Science, and Software Development. I enjoy building scalable, production-grade systems that combine intelligent decision-making with robust engineering.
My experience spans Transformer-based NLP, Retrieval-Augmented Generation (RAG), AI Agents, Backend Development, Automation Platforms, and Enterprise Software Solutions. Over the years, I have built LLM-powered applications, Sentiment Intelligence Platforms, Document Retrieval Systems, and Workflow Automation Tools across diverse domains.
Beyond technology, I was recommended by the Services Selection Board (SSB) for Officer Entry into the Indian Armed Forces, reflecting leadership, teamwork, and the ability to perform under pressure.
- Developed and enhanced backend services, internal tools, and automation systems supporting large-scale business operations and data-driven workflows
- Resolved complex production issues involving multi-threaded applications, database performance bottlenecks, concurrency failures, and system synchronization, significantly improving platform stability
- Designed and integrated REST APIs, workflow automation modules, and data processing pipelines to improve operational efficiency and reduce manual intervention
- Built centralized monitoring and reporting dashboards, aggregating data from multiple services to provide real-time system observability and operational insights
- Performed production debugging, testing, and user acceptance validation while collaborating with engineering teams to deliver reliable and scalable software solutions
- Built a data-driven competitive intelligence framework to analyze market pricing, promotional strategies, inventory trends, and competitor positioning across leading retail and quick-commerce platforms
- Processed large-scale market datasets and improved analytical throughput by ~7×, enabling timely identification of emerging business opportunities and competitive risks
- Performed pricing and inventory analytics to uncover discount volatility, stock movement patterns, and regional demand variations across multiple markets
- Developed ETL workflows and structured reporting systems that generated pricing intelligence, margin insights, and strategic business recommendations
- Delivered actionable insights through automated dashboards and analytics pipelines, supporting data-driven decision-making and competitive strategy formulation
- Architected and deployed LibSenti, a transformer-based sentiment intelligence platform analyzing 10,000+ institutional reviews for large-scale opinion mining and sentiment analytics
- Fine-tuned a RoBERTa model using PyTorch and Hugging Face Transformers, achieving 95%+ classification accuracy through advanced preprocessing, class balancing, and label smoothing techniques
- Designed scalable NLP pipelines for data cleaning, tokenization, augmentation, model training, evaluation, and inference, improving model robustness and generalization
- Built and deployed a real-time sentiment analysis application using Streamlit and Hugging Face Hub, enabling interactive inference, confidence visualization, and explainable predictions
- Developed comprehensive evaluation workflows leveraging precision, recall, F1-score, confusion matrices, and error analysis to optimize model performance across sentiment classes
- Automated validation and publishing workflows for 15,000+ Drupal CMS records, reducing manual effort by 60% and improving operational efficiency by 3×
- Engineered a gamified coding platform used by 1,000+ kids
- Improved backend performance by 15% and user engagement by 30%
- Founded and scaled the college chess society to 100+ active members, building one of the largest student-led strategic gaming communities on campus
- Led a 15-member core team, overseeing event planning, operations, partnerships, community engagement, and organizational growth
- Organized inter-college tournaments, competitive events, and strategy workshops, driving sustained member participation and skill development
- Secured sponsorship from Smaaash and established external partnerships, enabling the successful execution of multiple sponsored events
- Managed budgeting, stakeholder coordination, and event logistics while fostering a collaborative and high-performance community culture
- Built an enterprise-grade RAG platform converting unstructured PDFs into a searchable semantic knowledge base using FAISS, ChromaDB, Milvus, and Qdrant
- Implemented hybrid retrieval combining vector similarity search with BM25 score fusion, improving retrieval accuracy across diverse document collections
- Integrated local LLM inference using LLaMA, Qwen, and Gemma models for secure and privacy-preserving document question answering
- Designed role-based access control and modular ingestion pipelines for secure enterprise document intelligence workflows
- Developed an AI-powered autonomous agent capable of identifying relevant jobs, selecting optimized resumes, generating personalized cover letters, and automating applications
- Built browser automation workflows for job discovery, form completion, recruiter outreach, and application tracking
- Integrated resume intelligence, job matching, and LLM-driven personalization into a unified application ecosystem
- Designed scalable architecture supporting autonomous job search across multiple recruitment platforms
- Deployed an edge-optimized semiconductor defect classification system using EfficientNetLite0 achieving 90.34% accuracy
- Built a lightweight 6.76 MB FP16 ONNX model achieving 8.55 ms CPU latency and 116.9 images/sec throughput
- Engineered optimized preprocessing and inference pipelines for deployment in low-resource industrial environments
- Reduced computational requirements while maintaining production-grade defect detection performance
- Built an end-to-end sentiment intelligence platform analyzing 10,000+ IIT and NIT library reviews using transformer-based NLP
- Fine-tuned a RoBERTa model achieving 95%+ classification accuracy through advanced preprocessing, class balancing, and label smoothing
- Developed a real-time Streamlit application enabling interactive predictions, confidence visualization, and institutional analytics
- Designed scalable NLP pipelines supporting large-scale sentiment monitoring and reporting
- Designed and developed a role-based institutional leave management platform for IIT Delhi
- Implemented PostgreSQL-based leave computation logic supporting holiday policies, approval workflows, and leave balance tracking
- Built OTP authentication, email notifications, and automated workflow management using SMTP services
- Created secure administrative and employee portals with end-to-end workflow automation
- Built a multi-source financial intelligence platform monitoring AML, sanctions, fraud, regulatory, and compliance-related developments
- Developed a weighted risk scoring engine across 25+ compliance indicators for automated threat prioritization
- Designed KPI dashboards and automated reporting systems supporting risk assessment and investigation workflows
- Implemented data aggregation pipelines for large-scale compliance intelligence generation
- Built an AI-powered rooftop solar advisory platform integrating subsidy calculations, ROI estimation, and energy generation forecasting
- Implemented PM Surya Ghar policy logic and financial simulations for personalized investment recommendations
- Generated location-aware solar installation insights based on energy consumption patterns and infrastructure constraints
- Automated cost-benefit analysis to support informed renewable energy adoption decisions
- Developed an NLP-powered email generation and automation platform for professional communication workflows
- Automated email drafting, personalization, and delivery processes, reducing drafting time by 75%
- Integrated intelligent content generation and workflow automation, eliminating 65% of manual effort
- Built scalable modules for bulk communication and personalized outreach campaigns