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AI Engineer with less than a year in Machine Learning & AI/NLP
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Tanishka Chauhan is an enthusiastic AI Engineer with 8 months of hands-on experience in cutting-edge technologies. She has a strong background in developing production-grade AI/ML systems, including OCR pipelines, outcome prediction models, and secure SDN/NFV frameworks. Her expertise spans Python, FastAPI, Transformers, RAG, and cloud platforms like AWS, demonstrating a knack for scalable and reliable solutions in artificial intelligence and data engineering.
International Institute of Information Technology, IIIT(NR)
B.Tech · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Magure
AIML Research Intern
November 1, 2025 – February 1, 2026
Raipur, Chhattisgarh, India
BHEL
AI Intern
June 1, 2025 – July 1, 2025
Bhopal, Madhya Pradesh, India
IIT Hyderabad
SURE Research Intern
May 1, 2024 – June 1, 2024
Hyderābād, Telangana, India
AI Legal Assistant with RAG
June 1, 2025 – Present
• Developed a RAG-based semantic retrieval system using FAISS and transformer embeddings, enabling real-time multilingual legal query resolution (English/Hindi/Hinglish). • Automated FIR generation and WhatsApp delivery via Twilio, handling 100+ queries/day with secure APIs, rate limiting, and logging for reliable production workflows
View ProjectLeadGenius AI
March 1, 2025 – Present
• Built an end-to-end AI lead enrichment pipeline processing 100+ companies per batch using automated web scraping, enrichment workflows, and zero-shot classification across 12+ industries, enabling scalable prospect discovery and structured lead generation. • Integrated Gmail API with AI-personalized outreach generation and Streamlit dashboards for automation workflows, reducing manual prospecting effort by 70% while improving outbound execution efficiency.
View ProjectGraph Business Intelligence System
September 1, 2024 – Present
• Engineered a graph-based Business platform with 21K+ nodes and 51K+ relationships, enabling natural language queries translated to Cypher using LLMs with real-time streaming responses. • Deployed scalable backend on AWS with Redis caching, rate limiting (30 req/min), and Dockerized services, improving query latency and enabling efficient business insights (order flow, revenue, anomaly detection).
View ProjectCultural Fit Analysis
The candidate's diverse project portfolio, ranging from graph-based systems to RAG and OCR pipelines, showcases adaptability and a broad interest in various AI applications. Their involvement in multiple internships and student leadership roles suggests a proactive and collaborative mindset, which aligns well with a dynamic technical environment. The breadth of technologies used also indicates a willingness to learn and apply new tools.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through their involvement in student clubs and as a Placement Coordinator, indicating good organizational and team collaboration skills. Their project descriptions suggest an ability to work independently and deliver functional systems. The focus on real-world applications in their projects (e.g., business intelligence, lead generation, legal assistant) indicates a practical, results-oriented approach.