Aniket Savanand
Verified Expert in Engineering
Software Engineer and Developer
San Jose, United States
Toptal member since October 15, 2026
Aniket is a software engineer with over 10 years of experience building full-stack and back-end systems across financial technology and AI infrastructure. His expertise spans Python, Java, and FastAPI for regulated data environments, where he thrives in distributed systems. Aniket reduced inference costs and built multi-LLM orchestration at Avishkaar Inc.
Portfolio
Experience
- Java - 15 years
- SQL - 15 years
- Python - 8 years
- FastAPI - 8 years
- React - 8 years
- ETL - 8 years
- PostgreSQL - 5 years
- TypeScript - 2 years
Work Experience
Software Engineer
Avishkaar Inc.
- Served as a founding engineer across the Avishkaar, Trades, and Signals financial platforms, owning end-to-end design, development, and delivery across front-end, back-end, mobile, and data pipelines.
- Partnered with the CTO to propose and implement core architectural decisions for new financial platforms.
- Built a natural language query engine enabling users to filter the full US equity universe using fundamental criteria and drill into per-ticker analysis, combining structured financial data with LLM-generated analysis.
- Designed and implemented a production LLM gateway using Python that dynamically routes requests across OpenAI, Anthropic Claude, Google Gemini, and private on-premise LLMs based on workload type, data privacy constraints, latency, and cost.
- Developed workflow-driven agent systems using Python , LangGraph, LangChain, and MCP tools for document analysis, financial research, and conversational AI.
- Architected a private RAG platform for SEC filing analysis using Python , Ollama-hosted local LLMs, ChromaDB, pgvector, and MCP integrations with automated ingestion, chunking, embedding, and retrieval pipelines.
- Built three distinct AI workflows per ticker: conversational Q&A grounded in SEC filings, private document upload for user-supplied research, and automated SEC filings highlights and delta analysis across 10-K and 10-Q periods.
- Routed privacy-sensitive documents exclusively to on-premise inference to keep proprietary data off external APIs.
- Crafted a centralized context layer performing prompt augmentation, cache lookups, and conversational context injection before dispatching to any downstream LLM.
- Designed Medallion Architecture (Bronze/Silver/Gold) ELT pipelines supporting approximately 4,000 publicly traded companies and 75,000+ SEC filings annually.
Software Engineer, Applications
Vistalytics Inc.
- Designed, developed, and maintained Vistalytics' Kosha analytics platform, generating ML-driven stock market indicators and chart pattern classifiers across thousands of US-listed equities to support institutional investment research.
- Owned end-to-end architecture, operation, and reliability of Kafka-based financial data ingestion pipelines with multi-stage automated self-correction workflows.
- Implemented anomaly detection in ETL pipelines that attempted remediation before escalating via SMS, automated phone calls, or email.
- Developed platform logic for graceful degradation by suppressing buy/sell signals and defaulting users to hold or cash-out positions based on failsafe rules during critical failures.
- Built an internal operations dashboard providing real-time visibility into every ETL phase and signal generation pipeline with manual override controls for incident recovery.
- Supported daily processing of large-scale financial datasets and historical market backfills using Python on Linux with MySQL and PostgreSQL.
- Built ETL validation frameworks using Python and pandas to apply statistical outlier detection for rejecting bad market data before it reached ML models.
- Implemented hierarchical fallback source routing across primary, secondary, and tertiary market data providers to prevent feed failures from propagating as gaps downstream.
- Handled options chain cleansing, including expiry validation, strike price filtering, rejection of structurally invalid contracts, split/dividend adjustment logic for time-consistent price series backtesting.
- Partnered with data scientists and quant researchers to operationalize reinforcement learning models and stock option analytics systems.
Intern IT Applications Engineer
Juniper Networks
- Built an anomaly detection system using K-Means and Auto-encoding machine learning algorithms to identify irregular patterns in DHCP, WLC, and RTFLOW server logs.
- Engineered a data pipeline running on Apache Spark to profile unstructured server logs into a structured JSON format, utilizing Hive queries for data filtering and validation.
- Deployed and managed a Hadoop cluster using AWS and Elasticsearch, and visualized complex network log analysis data through interactive Kibana and Tableau dashboards.
Software Engineer
TechRel Technologies Pvt. Ltd
- Built and maintained enterprise platforms, including a monitoring project system (MPS), Cloud ERP, and HR management system, over a five-year tenure using Java, Spring, J2EE, Hibernate, Python, and MySQL.
- Owned full SDLC from design through production support for multiple enterprise applications.
- Developed RESTful APIs, relational database schemas, and business workflows using Java, Spring Boot, SQL/PL/SQL, Oracle, and Elasticsearch.
- Built front-end interfaces using Angular, JavaScript, HTML, and CSS for enterprise applications.
- Deployed and maintained applications on Linux using Git, Bash scripts, and CI/CD pipelines.
Project History
Multi-LLM Gateway with Cost, Latency, and Privacy Routing
LangGraph Agent Workflows for Document Analysis and Financial Research
LLM Evaluation Harness for Model and Prompt Releases
Private RAG Platform for SEC Filing Analys
Medallion ELT Pipelines for SEC Filing Data
Variance Loop Cinema: Multi-agent LLM Review Auditing Platform
Web scripting for ETL
Education
Master's Degree in Software Engineering
San Jose State University - San Jose, CA, USA
Bachelor's Degree in Computer Engineering
University of Pune - Baramati, India
Skills
Libraries/APIs
OpenAI API, Pandas, Jsoup, SQLAlchemy, Beautiful Soup, REST APIs, Asyncio, API Development, React, Node.js, Claude API, Highcharts, OpenNLP, Context API, JAX-RS, Mahout, TensorFlow
Tools
Git, Claude Code, ChatGPT, Amazon EKS, Claude, Grafana, Redux Toolkit, Apache Maven, Apache JMeter, OpenVPN, Jenkins, Kibana, VPN, Pytest, Astro
Languages
Python, Java, TypeScript, JavaScript, Bash, SQL, HTML, CSS3, Swift, Scala, CSS, Bash Script
Frameworks
LangGraph, Hibernate, Spring Boot, Flask, OAuth 2, Spring, Angular, Next.js, NestJS, Tailwind CSS, JUnit, Mockito, Apache Spark, SwiftUI, Dropwizard, Hadoop, Spring MVC, Selenium
Paradigms
REST, Microservices, Best Practices, ETL, Software Testing, Unit Testing, Object-oriented Programming (OOP), Agile, Scrum, Design Patterns, Model Context Protocol (MCP), Test Automation
Platforms
Linux, Jakarta EE (Java EE or J2EE), Oracle, Docker, Unix, AWS IoT, Amazon Web Services (AWS), AWS Lambda, Kubernetes, Jupyter Notebook, Databricks, Ollama, JEE, OpenStack, MapR
Storage
PostgreSQL, MySQL, MongoDB, Data Pipelines, NoSQL, Database Migration, Elasticsearch, Redis, Datadog, Redshift, Apache Hive, Amazon S3 (AWS S3), Database Management Systems (DBMS), Relational Databases, MySQLdb, OLTP
Other
FastAPI, LangChain, Kafka, Retrieval-augmented Generation (RAG), Anthropic Claude API, Prompt Engineering, Linux/Unix, Agentic AI, Software Engineering, LLM Orchestration, LLM Evaluation, Vector Databases, ELT, Data Engineering, Multi-agent Systems, Cloudflare, Scraping, lxml, AI Integration, AI Tools, AI Workflow, Artificial Intelligence (AI), ChatGPT API, Apache Flume, Full-stack, Backtesting, Algorithmic Trading, Automated Trading Software, Backtesting Trading Strategies, Quantitative Trading, Trading, APIs, Large Language Models (LLMs), Integrations, ETL Pipelines, ETL for AI, API Integration, Process Automation, AI Agents, Back-end, API Gateways, Software Architecture, Optical Character Recognition (OCR), Back-end Development, Front-end Development, Software Development Lifecycle (SDLC), Software Development, Full-stack Development, SaaS, Pipelines, Serverless, Incident Response, Agentic AI Systems, AI Engineering, Legacy Code, API Design, Architecture, Enterprise Architecture, Machine Learning, Front-end, Prometheus, Tailwind UI, ChromaDB, Pgvector, MCP tools, Gemini API, CI/CD Pipelines, Vite, Amazon RDS, Cloud Technologies, Web and Data Mining, Big Data, Enterprise Distributed Systems, Enterprise Application Development, Storage and Network Virtualization, Core Programming, Algorithms & Logic, Object-Oriented Modeling & Design, Databases & Information Systems, Theory of Computation, Computer Networks, Operating Systems, Network & Information Security, Architecture & Low-Level Computing, Financial and Industrial Management, Technical Seminars, Technical & Communication, IEEE, Projects, Deep Learning, Reinforcement Machine Learning, Data Analysis, Data Mining, Regression, Clustering, Support Vectors, Integration Testing, Smoke Testing, User Experience (UX), Angular 8, API Gateway Design, Web Crawlers
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